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downloading serocalculator_1.0.3.tar.gz ... ok downloading SeuratObject_5.0.2.tar.gz ... ok downloading shinyInvoice_0.0.5.tar.gz ... ok downloading shinymgr_1.1.0.tar.gz ... ok downloading sinew_0.4.0.tar.gz ... ok downloading spreadr_0.2.0.tar.gz ... ok downloading starter_0.1.16.tar.gz ... ok downloading tfhub_0.8.1.tar.gz ... ok downloading traudem_1.0.3.tar.gz ... ok downloading vegawidget_0.5.0.tar.gz ... ok downloading vembedr_0.1.5.tar.gz ... ok downloading vroom_1.6.5.tar.gz ... ok downloading worcs_0.1.15.tar.gz ... ok installing dependencies ‘archive’, ‘ari’, ‘asciicast’, ‘assertr’, ‘attachment’, ‘aws.ec2metadata’, ‘AzureStor’, ‘b64’, ‘babynames’, ‘bcrypt’, ‘bib2df’, ‘bigreadr’, ‘bio3d’, ‘bizdays’, ‘blastula’, ‘blogdown’, ‘Boruta’, ‘box’, ‘box.linters’, ‘box.lsp’, ‘BPCells’, ‘bsplus’, ‘BTM’, ‘bundle’, ‘carrier’, ‘castor’, ‘censable’, ‘censobr’, ‘cereal’, ‘cffr’, ‘cicerone’, ‘ciftiTools’, ‘CirceR’, ‘cleanr’, ‘cleanrmd’, ‘clime’, ‘cmdstanr’, ‘colorBlindness’, ‘colourvalues’, ‘contentid’, ‘CoordinateCleaner’, ‘corrr’, ‘crosstable’, ‘csv’, ‘DatabaseConnector’, ‘dcm2’, ‘ddalpha’, ‘details’, ‘diffviewer’, ‘dimRed’, ‘distill’, ‘dittodb’, ‘dlr’, ‘dockerfiler’, ‘document’, ‘doMPI’, ‘dotenv’, ‘duckplyr’, ‘dynutils’, ‘echo’, ‘editData’, ‘EML’, ‘emoji’, ‘envir’, ‘EpiEstim’, ‘etl’, ‘fabR’, ‘fakemake’, ‘filearray’, ‘fixtuRes’, ‘foghorn’, ‘forge’, ‘fortunes’, ‘fpCompare’, ‘freesurferformats’, ‘fs’, ‘fuj’, ‘future.batchtools’, ‘gdalcubes’, ‘gender’, ‘geobr’, ‘geodata’, ‘geohashTools’, ‘geouy’, ‘ggstream’, ‘gibble’, ‘gifti’, ‘gluedown’, ‘gmailr’, ‘googleCloudStorageR’, ‘googleComputeEngineR’, ‘Hmisc’, ‘hts’, ‘humanize’, ‘inspectdf’, ‘instantiate’, ‘iotarelr’, ‘ipaddress’, ‘irrCAC’, ‘jinjar’, ‘katex’, ‘keyATM’, ‘LaF’, ‘languageserver’, ‘latexpdf’, ‘leafgl’, ‘lemon’, ‘leontief’, ‘log4r’, ‘longmemo’, ‘lqmm’, ‘lutz’, ‘luz’, ‘macleish’, ‘madshapR’, ‘mAr’, ‘matrixNormal’, ‘mergen’, ‘MetBrewer’, ‘Microsoft365R’, ‘minioclient’, ‘missRanger’, ‘mixtur’, ‘mlr3data’, ‘mmand’, ‘modeltime’, ‘morphemepiece.data’, ‘MortalityTables’, ‘mschart’, ‘muscle’, ‘nanoparquet’, ‘ncdf4.helpers’, ‘nestedmodels’, ‘ngram’, ‘NLMR’, ‘notebookutils’, ‘nycflights23’, ‘objectProperties’, ‘ollamar’, ‘orca’, ‘packer’, ‘papaja’, ‘parzer’, ‘paws.machine.learning’, ‘paws.storage’, ‘pdp’, ‘pgdraw’, ‘phyloregion’, ‘piecemaker’, ‘piggyback’, ‘pingr’, ‘pins’, ‘pkgbuild’, ‘pkgcache’, ‘pkgdepends’, ‘prereg’, ‘prettycode’, ‘protoclust’, ‘ps’, ‘pxweb’, ‘QSARdata’, ‘quanteda.textmodels’, ‘Quartet’, ‘quickPlot’, ‘qwraps2’, ‘rapidoc’, ‘RcppCWB’, ‘readNSx’, ‘readtext’, ‘redcapAPI’, ‘REDCapR’, ‘rEDM’, ‘reproducible’, ‘Require’, ‘rgl’, ‘rgnparser’, ‘rhino’, ‘rhub’, ‘rivernet’, ‘rlme’, ‘RNiftyReg’, ‘robustvarComp’, ‘Rogue’, ‘rpyANTs’, ‘rpymat’, ‘rsconnect’, ‘rstac’, ‘Rsurrogate’, ‘rules’, ‘S7’, ‘secret’, ‘secretbase’, ‘seededlda’, ‘sendmailR’, ‘shiny.i18n’, ‘shiny.react’, ‘shiny.semantic’, ‘shinyMobile’, ‘shinyvalidate’, ‘simts’, ‘skewt’, ‘smdocker’, ‘smotefamily’, ‘sos’, ‘soundecology’, ‘SpaDES.tools’, ‘sparkline’, ‘spork’, ‘spsurvey’, ‘stacks’, ‘statar’, ‘stm’, ‘summarytools’, ‘svgPanZoom’, ‘tarchetypes’, ‘targets’, ‘taxadb’, ‘telegram.bot’, ‘tfestimators’, ‘tfevents’, ‘thematic’, ‘thor’, ‘tibblify’, ‘tidySEM’, ‘tidyxl’, ‘torchvision’, ‘tosca’, ‘TreeDist’, ‘treesitter’, ‘treesitter.r’, ‘TreeTools’, ‘typed’, ‘uaparserjs’, ‘utility’, ‘vapour’, ‘vaultr’, ‘vegawidget’, ‘warbleR’, ‘wav’, ‘withr’, ‘wv’, ‘xaringan’, ‘xrf’, ‘yamlet’, ‘yodel’ Warning: packages ‘cmdstanr’, ‘NLMR’, ‘BPCells’ are not available for this version of R Versions of these packages for your version of R might be available elsewhere, see the ideas at https://cran.r-project.org/doc/manuals/r-devel/R-admin.html#Installing-packages also installing the dependencies ‘ndjson’, ‘pbdZMQ’, ‘daymetr’, ‘MODISTools’, ‘RcppHungarian’, ‘CVST’, ‘googleLanguageR’, ‘conrad’, ‘tmvnsim’, ‘storr’, ‘coarseDataTools’, ‘incidence’, ‘censusapi’, ‘tinytiger’, ‘antiword’, ‘streamR’, ‘striprtf’, ‘emld’, ‘robcor’, ‘pkgfilecache’, ‘IRkernel’, ‘humaniformat’, ‘phenocamr’, ‘openai’, ‘MakefileR’, ‘encode’, ‘Ternary’, ‘paws.compute’, ‘paws.developer.tools’, ‘paws.management’, ‘paws.security.identity’, ‘DRR’, ‘betapart’, ‘maptpx’, ‘predicts’, ‘smoothr’, ‘semantic.assets’, ‘text2speech’, ‘NatureSounds’, ‘monitoR’, ‘bioacoustics’, ‘piton’, ‘objectSignals’, ‘naturalsort’, ‘labelVector’, ‘SparseGrid’, ‘GSE’, ‘tinylabels’, ‘rmdfiltr’, ‘blavaan’, ‘bain’ begin installing package ‘ndjson’ begin installing package ‘pbdZMQ’ begin installing package ‘MODISTools’ begin installing package ‘withr’ begin installing package ‘RcppHungarian’ begin installing package ‘CVST’ begin installing package ‘tmvnsim’ begin installing package ‘fs’ begin installing package ‘storr’ begin installing package ‘coarseDataTools’ begin installing package ‘censusapi’ begin installing package ‘tinytiger’ begin installing package ‘antiword’ begin installing package ‘striprtf’ begin installing package ‘emld’ begin installing package ‘robcor’ begin installing package ‘pkgfilecache’ begin installing package ‘humaniformat’ begin installing package ‘openai’ begin installing package ‘MakefileR’ begin installing package ‘encode’ begin installing package ‘paws.compute’ begin installing package ‘paws.developer.tools’ begin installing package ‘paws.security.identity’ begin installing package ‘betapart’ begin installing package ‘paws.management’ begin installing package ‘maptpx’ begin installing package ‘predicts’ * installing *source* package ‘encode’ ... ** package ‘encode’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (encode) begin installing package ‘smoothr’ * installing *source* package ‘MakefileR’ ... ** package ‘MakefileR’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (MakefileR) begin installing package ‘NatureSounds’ * installing *source* package ‘robcor’ ... ** package ‘robcor’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (robcor) * installing *source* package ‘pkgfilecache’ ... ** package ‘pkgfilecache’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pkgfilecache) begin installing package ‘monitoR’ begin installing package ‘bioacoustics’ * installing *source* package ‘censusapi’ ... ** package ‘censusapi’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (censusapi) begin installing package ‘piton’ * installing *source* package ‘tmvnsim’ ... ** package ‘tmvnsim’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-3) 14.2.0’ using Fortran compiler: ‘GNU Fortran (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpFBJ5yQ/R.INSTALL3621293611c592/tmvnsim/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c Fortran2CWrapper.c -o Fortran2CWrapper.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c tmvnghk.f90 -o tmvnghk.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o tmvnsim.so Fortran2CWrapper.o tmvnghk.o -llapack -L/home/hornik/tmp/R-d-gcc-14/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpFBJ5yQ/R.INSTALL3621293611c592/tmvnsim/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-tmvnsim/00new/tmvnsim/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tmvnsim) begin installing package ‘objectSignals’ * installing *source* package ‘withr’ ... ** package ‘withr’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (withr) begin installing package ‘naturalsort’ * installing *source* package ‘tinytiger’ ... ** package ‘tinytiger’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tinytiger) begin installing package ‘labelVector’ * installing *source* package ‘openai’ ... ** package ‘openai’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (openai) begin installing package ‘SparseGrid’ * installing *source* package ‘maptpx’ ... ** package ‘maptpx’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpzpImBB/R.INSTALL36217673fca47b/maptpx/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DRPRINT -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DRPRINT -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c latools.c -o latools.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DRPRINT -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rhelp.c -o rhelp.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DRPRINT -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c topics.c -o topics.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o maptpx.so init.o latools.o rhelp.o topics.o -llapack -L/home/hornik/tmp/R-d-gcc-14/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpzpImBB/R.INSTALL36217673fca47b/maptpx/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-maptpx/00new/maptpx/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (maptpx) begin installing package ‘GSE’ * installing *source* package ‘objectSignals’ ... ** package ‘objectSignals’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (objectSignals) begin installing package ‘tinylabels’ * installing *source* package ‘emld’ ... ** package ‘emld’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (emld) begin installing package ‘bain’ * installing *source* package ‘naturalsort’ ... ** package ‘naturalsort’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (naturalsort) begin installing package ‘lutz’ * installing *source* package ‘labelVector’ ... ** package ‘labelVector’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (labelVector) begin installing package ‘spsurvey’ * installing *source* package ‘NatureSounds’ ... ** package ‘NatureSounds’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (NatureSounds) begin installing package ‘soundecology’ * installing *source* package ‘pbdZMQ’ ... ** package ‘pbdZMQ’ successfully unpacked and MD5 sums checked ** using staged installation checking for pkg-config... /usr/bin/pkg-config checking pkg-config is at least version 0.25... yes checking for zmq... yes checking for zmq_4_1_6... checking for zmq... yes ****************** Results of pbdZMQ package configure ***************** >> GET_PKG_CONFIG = yes >> GET_SYSTEM_ZMQ = yes >> GET_SYSTEM_ZMQ_430 = yes >> PKG_CONFIG = /usr/bin/pkg-config >> SYSTEM_ZMQ_INCLUDEDIR = /usr/include >> SYSTEM_ZMQ_LIBDIR = /usr/lib/x86_64-linux-gnu >> ENABLE_INTERNAL_ZMQ = no >> INTERNAL_ZMQ_INCLUDEDIR = ./zmqsrc/include >> INTERNAL_ZMQ_LIBDIR = ./ >> EXTERNAL_ZMQ_INCLUDE = >> EXTERNAL_ZMQ_LDFLAGS = >> ZMQ_INCLUDE = -I/usr/include >> ZMQ_LDFLAGS = -L/usr/lib/x86_64-linux-gnu -lzmq >> EXT_LIBS = >> ZMQ_POLLER = select ************************************************************************ configure: creating ./config.status config.status: creating src/Makevars configure: creating ./config.status config.status: creating src/Makevars config.status: creating src/build_zmq configure: creating ./config.status config.status: creating src/Makevars config.status: creating src/build_zmq config.status: creating R/zzz.r ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-3) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp3phKPW/R.INSTALL3621313484dea/pbdZMQ/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I/usr/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_zmq_context.c -o R_zmq_context.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I/usr/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_zmq_socket.c -o R_zmq_socket.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I/usr/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_zmq_sendrecv.c -o R_zmq_sendrecv.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I/usr/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_zmq_utility.c -o R_zmq_utility.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I/usr/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_zmq_message.c -o R_zmq_message.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I/usr/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_zmq_transfer.c -o R_zmq_transfer.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I/usr/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c shellexec_wcc.c -o shellexec_wcc.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I/usr/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_zmq_poll.c -o R_zmq_poll.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I/usr/include -fpic -g -O2 -Wall -pedantic -mtune=native -c R_cxx_dummy.cc -o R_cxx_dummy.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I/usr/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c zzz.c -o zzz.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o pbdZMQ.so R_zmq_context.o R_zmq_socket.o R_zmq_sendrecv.o R_zmq_utility.o R_zmq_message.o R_zmq_transfer.o shellexec_wcc.o R_zmq_poll.o R_cxx_dummy.o zzz.o -L/usr/lib/x86_64-linux-gnu -lzmq -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp3phKPW/R.INSTALL3621313484dea/pbdZMQ/src' installing via 'install.libs.R' to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-pbdZMQ/00new/pbdZMQ ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pbdZMQ) begin installing package ‘dynutils’ * installing *source* package ‘SparseGrid’ ... ** package ‘SparseGrid’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (SparseGrid) begin installing package ‘dotenv’ * installing *source* package ‘tinylabels’ ... ** package ‘tinylabels’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tinylabels) begin installing package ‘typed’ * installing *source* package ‘storr’ ... ** package ‘storr’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpncg6KK/R.INSTALL36214b3496f215/storr/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c storr.c -o storr.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o storr.so storr.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpncg6KK/R.INSTALL36214b3496f215/storr/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-storr/00new/storr/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (storr) begin installing package ‘doMPI’ * installing *source* package ‘dotenv’ ... ** package ‘dotenv’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (dotenv) begin installing package ‘CoordinateCleaner’ * installing *source* package ‘coarseDataTools’ ... ** package ‘coarseDataTools’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (coarseDataTools) begin installing package ‘rgnparser’ * installing *source* package ‘CVST’ ... ** package ‘CVST’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (CVST) begin installing package ‘yodel’ * installing *source* package ‘typed’ ... ** package ‘typed’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (typed) begin installing package ‘pxweb’ * installing *source* package ‘RcppHungarian’ ... ** package ‘RcppHungarian’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpcOenUZ/R.INSTALL3621393a41b45/RcppHungarian/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include/ -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o In file included from RcppExports.cpp:4: ../inst/include/RcppHungarian.h: In member function ‘void HungarianAlgorithm::assignmentoptimal(int*, double*, double*, int, int)’: ../inst/include/RcppHungarian.h:169:11: warning: this ‘if’ clause does not guard... [-Wmisleading-indentation] 169 | if (fabs(distMatrix[row + nOfRows*col]) < DBL_EPSILON) | ^~ ../inst/include/RcppHungarian.h:177:13: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘if’ 177 | for (row = 0; rowhandle_queue, &queue); | ^~~~~~~~~~ src/uv-common.c:503:9: note: 'queue' declared here 503 | QUEUE queue; | ^~~~~ src/uv-common.c:502:25: note: 'loop' declared here 502 | void uv_walk(uv_loop_t* loop, uv_walk_cb walk_cb, void* arg) { | ~~~~~~~~~~~^~~~ CC src/libuv_la-version.lo CC src/libuv_la-strtok.lo CC src/unix/libuv_la-async.lo In file included from ./src/uv-common.h:42, from src/unix/internal.h:25, from src/unix/async.c:26: src/unix/async.c: In function 'uv__async_io.part.0': ./src/queue.h:68:19: warning: storing the address of local variable 'queue' in '((void * (**)[2])MEM[(void *[2] * *)loop_6(D) + 432B])[1]' [-Wdangling-pointer=] 68 | QUEUE_PREV(q) = (n); \ | ^ ./src/queue.h:78:7: note: in expansion of macro 'QUEUE_SPLIT' 78 | QUEUE_SPLIT(h, q, n); \ | ^~~~~~~~~~~ src/unix/async.c:149:3: note: in expansion of macro 'QUEUE_MOVE' 149 | QUEUE_MOVE(&loop->async_handles, &queue); | ^~~~~~~~~~ src/unix/async.c:125:9: note: 'queue' declared here 125 | QUEUE queue; | ^~~~~ src/unix/async.c:122:37: note: 'loop' declared here 122 | static void uv__async_io(uv_loop_t* loop, uv__io_t* w, unsigned int events) { | ~~~~~~~~~~~^~~~ CC src/unix/libuv_la-core.lo In file included from ./src/uv-common.h:42, from src/unix/internal.h:25, from src/unix/core.c:22: src/unix/core.c: In function 'uv__run_pending': ./src/queue.h:68:19: warning: storing the address of local variable 'pq' in '((void * (**)[2])MEM[(void *[2] * *)loop_11(D) + 72B])[1]' [-Wdangling-pointer=] 68 | QUEUE_PREV(q) = (n); \ | ^ ./src/queue.h:78:7: note: in expansion of macro 'QUEUE_SPLIT' 78 | QUEUE_SPLIT(h, q, n); \ | ^~~~~~~~~~~ src/unix/core.c:803:3: note: in expansion of macro 'QUEUE_MOVE' 803 | QUEUE_MOVE(&loop->pending_queue, &pq); | ^~~~~~~~~~ src/unix/core.c:800:9: note: 'pq' declared here 800 | QUEUE pq; | ^~ src/unix/core.c:798:40: note: 'loop' declared here 798 | static void uv__run_pending(uv_loop_t* loop) { | ~~~~~~~~~~~^~~~ CC src/unix/libuv_la-dl.lo CC src/unix/libuv_la-fs.lo src/unix/fs.c: In function 'uv__mkostemp_initonce': src/unix/fs.c:299:18: warning: ISO C forbids conversion of object pointer to function pointer type [-Wpedantic] 299 | uv__mkostemp = (int (*)(char*, int)) dlsym(RTLD_DEFAULT, "mkostemp"); | ^ CC src/unix/libuv_la-getaddrinfo.lo CC src/unix/libuv_la-getnameinfo.lo CC src/unix/libuv_la-loop-watcher.lo In file included from ./src/uv-common.h:42, from src/unix/internal.h:25, from src/unix/loop-watcher.c:23: src/unix/loop-watcher.c: In function 'uv__run_prepare': ./src/queue.h:68:19: warning: storing the address of local variable 'queue' in '((void * (**)[2])MEM[(void *[2] * *)loop_12(D) + 384B])[1]' [-Wdangling-pointer=] 68 | QUEUE_PREV(q) = (n); \ | ^ ./src/queue.h:78:7: note: in expansion of macro 'QUEUE_SPLIT' 78 | QUEUE_SPLIT(h, q, n); \ | ^~~~~~~~~~~ src/unix/loop-watcher.c:52:5: note: in expansion of macro 'QUEUE_MOVE' 52 | QUEUE_MOVE(&loop->name##_handles, &queue); \ | ^~~~~~~~~~ src/unix/loop-watcher.c:66:1: note: in expansion of macro 'UV_LOOP_WATCHER_DEFINE' 66 | UV_LOOP_WATCHER_DEFINE(prepare, PREPARE) | ^~~~~~~~~~~~~~~~~~~~~~ src/unix/loop-watcher.c:50:11: note: 'queue' declared here 50 | QUEUE queue; \ | ^~~~~ src/unix/loop-watcher.c:66:1: note: in expansion of macro 'UV_LOOP_WATCHER_DEFINE' 66 | UV_LOOP_WATCHER_DEFINE(prepare, PREPARE) | ^~~~~~~~~~~~~~~~~~~~~~ src/unix/loop-watcher.c:48:34: note: 'loop' declared here 48 | void uv__run_##name(uv_loop_t* loop) { \ | ~~~~~~~~~~~^~~~ src/unix/loop-watcher.c:66:1: note: in expansion of macro 'UV_LOOP_WATCHER_DEFINE' 66 | UV_LOOP_WATCHER_DEFINE(prepare, PREPARE) | ^~~~~~~~~~~~~~~~~~~~~~ src/unix/loop-watcher.c: In function 'uv__run_check': ./src/queue.h:68:19: warning: storing the address of local variable 'queue' in '((void * (**)[2])MEM[(void *[2] * *)loop_12(D) + 400B])[1]' [-Wdangling-pointer=] 68 | QUEUE_PREV(q) = (n); \ | ^ ./src/queue.h:78:7: note: in expansion of macro 'QUEUE_SPLIT' 78 | QUEUE_SPLIT(h, q, n); \ | ^~~~~~~~~~~ src/unix/loop-watcher.c:52:5: note: in expansion of macro 'QUEUE_MOVE' 52 | QUEUE_MOVE(&loop->name##_handles, &queue); \ | ^~~~~~~~~~ src/unix/loop-watcher.c:67:1: note: in expansion of macro 'UV_LOOP_WATCHER_DEFINE' 67 | UV_LOOP_WATCHER_DEFINE(check, CHECK) | ^~~~~~~~~~~~~~~~~~~~~~ src/unix/loop-watcher.c:50:11: note: 'queue' declared here 50 | QUEUE queue; \ | ^~~~~ src/unix/loop-watcher.c:67:1: note: in expansion of macro 'UV_LOOP_WATCHER_DEFINE' 67 | UV_LOOP_WATCHER_DEFINE(check, CHECK) | ^~~~~~~~~~~~~~~~~~~~~~ src/unix/loop-watcher.c:48:34: note: 'loop' declared here 48 | void uv__run_##name(uv_loop_t* loop) { \ | ~~~~~~~~~~~^~~~ src/unix/loop-watcher.c:67:1: note: in expansion of macro 'UV_LOOP_WATCHER_DEFINE' 67 | UV_LOOP_WATCHER_DEFINE(check, CHECK) | ^~~~~~~~~~~~~~~~~~~~~~ src/unix/loop-watcher.c: In function 'uv__run_idle': ./src/queue.h:68:19: warning: storing the address of local variable 'queue' in '((void * (**)[2])MEM[(void *[2] * *)loop_12(D) + 416B])[1]' [-Wdangling-pointer=] 68 | QUEUE_PREV(q) = (n); \ | ^ ./src/queue.h:78:7: note: in expansion of macro 'QUEUE_SPLIT' 78 | QUEUE_SPLIT(h, q, n); \ | ^~~~~~~~~~~ src/unix/loop-watcher.c:52:5: note: in expansion of macro 'QUEUE_MOVE' 52 | QUEUE_MOVE(&loop->name##_handles, &queue); \ | ^~~~~~~~~~ src/unix/loop-watcher.c:68:1: note: in expansion of macro 'UV_LOOP_WATCHER_DEFINE' 68 | UV_LOOP_WATCHER_DEFINE(idle, IDLE) | ^~~~~~~~~~~~~~~~~~~~~~ src/unix/loop-watcher.c:50:11: note: 'queue' declared here 50 | QUEUE queue; \ | ^~~~~ src/unix/loop-watcher.c:68:1: note: in expansion of macro 'UV_LOOP_WATCHER_DEFINE' 68 | UV_LOOP_WATCHER_DEFINE(idle, IDLE) | ^~~~~~~~~~~~~~~~~~~~~~ src/unix/loop-watcher.c:48:34: note: 'loop' declared here 48 | void uv__run_##name(uv_loop_t* loop) { \ | ~~~~~~~~~~~^~~~ src/unix/loop-watcher.c:68:1: note: in expansion of macro 'UV_LOOP_WATCHER_DEFINE' 68 | UV_LOOP_WATCHER_DEFINE(idle, IDLE) | ^~~~~~~~~~~~~~~~~~~~~~ CC src/unix/libuv_la-loop.lo CC src/unix/libuv_la-pipe.lo CC src/unix/libuv_la-poll.lo CC src/unix/libuv_la-process.lo CC src/unix/libuv_la-random-devurandom.lo CC src/unix/libuv_la-signal.lo CC src/unix/libuv_la-stream.lo In file included from ./src/uv-common.h:42, from src/unix/internal.h:25, from src/unix/stream.c:23: src/unix/stream.c: In function 'uv__write_callbacks': ./src/queue.h:68:19: warning: storing the address of local variable 'pq' in '((void * (**)[2])MEM[(void *[2] * *)stream_23(D) + 208B])[1]' [-Wdangling-pointer=] 68 | QUEUE_PREV(q) = (n); \ | ^ ./src/queue.h:78:7: note: in expansion of macro 'QUEUE_SPLIT' 78 | QUEUE_SPLIT(h, q, n); \ | ^~~~~~~~~~~ src/unix/stream.c:941:3: note: in expansion of macro 'QUEUE_MOVE' 941 | QUEUE_MOVE(&stream->write_completed_queue, &pq); | ^~~~~~~~~~ src/unix/stream.c:936:9: note: 'pq' declared here 936 | QUEUE pq; | ^~ src/unix/stream.c:933:46: note: 'stream' declared here 933 | static void uv__write_callbacks(uv_stream_t* stream) { | ~~~~~~~~~~~~~^~~~~~ CC src/unix/libuv_la-tcp.lo CC src/unix/libuv_la-thread.lo CC src/unix/libuv_la-tty.lo CC src/unix/libuv_la-udp.lo CC src/unix/libuv_la-linux-core.lo CC src/unix/libuv_la-linux-inotify.lo CC src/unix/libuv_la-linux-syscalls.lo CC src/unix/libuv_la-procfs-exepath.lo CC src/unix/libuv_la-proctitle.lo CC src/unix/libuv_la-random-getrandom.lo CC src/unix/libuv_la-random-sysctl-linux.lo CC src/unix/libuv_la-epoll.lo CCLD libuv.la make[2]: Leaving directory '/home/hornik/tmp/scratch/Rtmp7Guzpu/R.INSTALL36214a301be774/fs/src/libuv-1.44.2' g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o fs.so dir.o error.o file.o fs.o getmode.o id.o init.o link.o path.o utils.o unix/getmode.o bsd/setmode.o bsd/strmode.o bsd/reallocarray.o ./libuv-1.44.2/.libs/libuv.a -pthread -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp7Guzpu/R.INSTALL36214a301be774/fs/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-fs/00new/fs/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fs) begin installing package ‘dittodb’ * installing *source* package ‘thematic’ ... ** package ‘thematic’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (thematic) begin installing package ‘sendmailR’ * installing *source* package ‘Rsurrogate’ ... ** package ‘Rsurrogate’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Rsurrogate) begin installing package ‘fortunes’ * installing *source* package ‘log4r’ ... ** package ‘log4r’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpBihXYU/R.INSTALL365b256fb29506/log4r/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c log4r.c -o log4r.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c logfmt.c -o logfmt.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o log4r.so log4r.o logfmt.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpBihXYU/R.INSTALL365b256fb29506/log4r/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-log4r/00new/log4r/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (log4r) begin installing package ‘fpCompare’ * installing *source* package ‘tosca’ ... ** package ‘tosca’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tosca) begin installing package ‘geodata’ * installing *source* package ‘sendmailR’ ... ** package ‘sendmailR’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (sendmailR) begin installing package ‘shiny.react’ * installing *source* package ‘Microsoft365R’ ... ** package ‘Microsoft365R’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Microsoft365R) begin installing package ‘distill’ * installing *source* package ‘fortunes’ ... ** package ‘fortunes’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fortunes) begin installing package ‘mschart’ * installing *source* package ‘fpCompare’ ... ** package ‘fpCompare’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fpCompare) begin installing package ‘bcrypt’ * installing *source* package ‘dittodb’ ... ** package ‘dittodb’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (dittodb) begin installing package ‘pkgcache’ * installing *source* package ‘shiny.react’ ... ** package ‘shiny.react’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (shiny.react) begin installing package ‘shinyvalidate’ * installing *source* package ‘readNSx’ ... ** package ‘readNSx’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpY23SYK/R.INSTALL364f7275ae0cd7/readNSx/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c cpp11.cpp -o cpp11.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rawToSEXP.cpp -o rawToSEXP.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c readBCI2R.cpp -o readBCI2R.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c readNSxDataPacket.cpp -o readNSxDataPacket.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o readNSx.so cpp11.o rawToSEXP.o readBCI2R.o readNSxDataPacket.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpY23SYK/R.INSTALL364f7275ae0cd7/readNSx/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-readNSx/00new/readNSx/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (readNSx) begin installing package ‘Require’ * installing *source* package ‘hts’ ... ** package ‘hts’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpYZ0KR6/R.INSTALL364794736074e0/hts/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ RcppExports.cpp:22:39: required from here 22 | rcpp_result_gen = Rcpp::wrap(cgm_c(As, bs)); | ~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ RcppExports.cpp:22:39: required from here 22 | rcpp_result_gen = Rcpp::wrap(cgm_c(As, bs)); | ~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c cgm_RcppEigen.cpp -o cgm_RcppEigen.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from cgm_RcppEigen.cpp:2: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ cgm_RcppEigen.cpp:20:39: required from here 20 | Eigen::MatrixXd cgm_c(SEXP As, SEXP bs) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ cgm_RcppEigen.cpp:20:39: required from here 20 | Eigen::MatrixXd cgm_c(SEXP As, SEXP bs) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ 50 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 1>’ 148 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 222 | class Map, Options, StrideType> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/MappedSparseMatrix.h:32:7: required from ‘class Eigen::MappedSparseMatrix’ 32 | class MappedSparseMatrix | ^~~~~~~~~~~~~~~~~~ cgm_RcppEigen.cpp:21:16: required from here 21 | const MSpMat A = as(As); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ cgm_RcppEigen.cpp:23:25: required from here 23 | const Map b(as > (bs)); | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> > >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::OuterStride<> > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::OuterStride<> >, 0>’ 50 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34: required from ‘class Eigen::internal::SparseRefBase, 0, Eigen::OuterStride<> > >’ 83 | template class SparseRefBase | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ 177 | class Ref, Options, StrideType> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:37:41: required from ‘struct Eigen::internal::is_ref_compatible_impl >’ 37 | enum { value = sizeof(test(ms_from, 0))==sizeof(yes) }; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:43:81: required from ‘struct Eigen::internal::is_ref_compatible >’ 43 | enum { value = is_ref_compatible_impl::type>::value }; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:46:49: required from ‘class Eigen::IterativeSolverBase > >’ 46 | template::value> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:158:7: required from ‘class Eigen::ConjugateGradient >’ 158 | class ConjugateGradient : public IterativeSolverBase > | ^~~~~~~~~~~~~~~~~ cgm_RcppEigen.cpp:24:44: required from here 24 | ConjugateGradient > cg; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h:41:43: required from ‘class Eigen::DiagonalPreconditioner’ 41 | typedef typename Vector::StorageIndex StorageIndex; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:431:18: required from ‘class Eigen::IterativeSolverBase > >’ 431 | Preconditioner m_preconditioner; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:158:7: required from ‘class Eigen::ConjugateGradient >’ 158 | class ConjugateGradient : public IterativeSolverBase > | ^~~~~~~~~~~~~~~~~ cgm_RcppEigen.cpp:24:44: required from here 24 | ConjugateGradient > cg; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ cgm_RcppEigen.cpp:28:33: required from here 28 | MatrixXd x=cg.compute(A).solve(b); | ~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:282:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >’ 282 | struct evaluator, Options, StrideType> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 687 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:217:9: required from ‘void Eigen::Ref, _Options, _StrideType>::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Map, 0, Eigen::Stride<0, 0> >; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ 217 | ::new (obj) TPlainObjectType(expr); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:190:16: required from ‘Eigen::Ref, _Options, _StrideType>::Ref(const Eigen::SparseMatrixBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ 190 | construct(expr.derived(), typename Traits::template match::type()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:81:5: required from ‘void Eigen::internal::generic_matrix_wrapper::grab(const Eigen::EigenBase&) [with MatrixDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; MatrixType = Eigen::SparseMatrix]’ 81 | ::new (&m_matrix) Ref(mat.derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:427:25: required from ‘void Eigen::IterativeSolverBase::grab(const InputType&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::ConjugateGradient >]’ 427 | m_matrixWrapper.grab(A); | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:240:9: required from ‘Derived& Eigen::IterativeSolverBase::compute(const Eigen::EigenBase&) [with MatrixDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::ConjugateGradient >]’ 240 | grab(A.derived()); | ~~~~^~~~~~~~~~~~~ cgm_RcppEigen.cpp:28:24: required from here 28 | MatrixXd x=cg.compute(A).solve(b); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ConjugateGradient >; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ cgm_RcppEigen.cpp:28:35: required from here 28 | MatrixXd x=cg.compute(A).solve(b); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ConjugateGradient >; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ cgm_RcppEigen.cpp:28:35: required from here 28 | MatrixXd x=cg.compute(A).solve(b); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ConjugateGradient >; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ cgm_RcppEigen.cpp:28:35: required from here 28 | MatrixXd x=cg.compute(A).solve(b); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>, Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1>, Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1>, Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1>, Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1>, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:43:35: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ConjugateGradient >; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ cgm_RcppEigen.cpp:28:35: required from here 28 | MatrixXd x=cg.compute(A).solve(b); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Block, -1, 1, true>, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Block, -1, 1, true>, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Block, -1, 1, true>, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Block, -1, 1, true>, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Block, -1, 1, true>, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:43:29: required from ‘void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ 43 | VectorType residual = rhs - mat * x; //initial residual | ~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ConjugateGradient >; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ cgm_RcppEigen.cpp:28:35: required from here 28 | MatrixXd x=cg.compute(A).solve(b); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:64:20: required from ‘void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ 64 | p = precond.solve(residual); // initial search direction | ~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ConjugateGradient >; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ cgm_RcppEigen.cpp:28:35: required from here 28 | MatrixXd x=cg.compute(A).solve(b); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:71:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ConjugateGradient >; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ cgm_RcppEigen.cpp:28:35: required from here 28 | MatrixXd x=cg.compute(A).solve(b); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ConjugateGradient >; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ cgm_RcppEigen.cpp:28:35: required from here 28 | MatrixXd x=cg.compute(A).solve(b); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:74:16: required from ‘void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ 74 | x += alpha * p; // update solution | ~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ConjugateGradient >; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ cgm_RcppEigen.cpp:28:35: required from here 28 | MatrixXd x=cg.compute(A).solve(b); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:86:11: required from ‘void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ 86 | p = z + beta * p; // update search direction | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ConjugateGradient >; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ cgm_RcppEigen.cpp:28:35: required from here 28 | MatrixXd x=cg.compute(A).solve(b); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:79:45: required from ‘void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 79 | const bool transpose = (DstEvaluatorType::Flags & RowMajorBit) != (SrcEvaluatorType::Flags & RowMajorBit); | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]’ 132 | assign_sparse_to_sparse(dst.derived(), src.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::SparseMatrix]’ 37 | internal::Assignment > | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | ::run(derived(), other.derived(), internal::assign_op()); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:217:9: required from ‘void Eigen::Ref, _Options, _StrideType>::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Map, 0, Eigen::Stride<0, 0> >; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ 217 | ::new (obj) TPlainObjectType(expr); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:190:16: required from ‘Eigen::Ref, _Options, _StrideType>::Ref(const Eigen::SparseMatrixBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ 190 | construct(expr.derived(), typename Traits::template match::type()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:81:5: required from ‘void Eigen::internal::generic_matrix_wrapper::grab(const Eigen::EigenBase&) [with MatrixDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; MatrixType = Eigen::SparseMatrix]’ 81 | ::new (&m_matrix) Ref(mat.derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:427:25: required from ‘void Eigen::IterativeSolverBase::grab(const InputType&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::ConjugateGradient >]’ 427 | m_matrixWrapper.grab(A); | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:240:9: required from ‘Derived& Eigen::IterativeSolverBase::compute(const Eigen::EigenBase&) [with MatrixDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::ConjugateGradient >]’ 240 | grab(A.derived()); | ~~~~^~~~~~~~~~~~~ cgm_RcppEigen.cpp:28:24: required from here 28 | MatrixXd x=cg.compute(A).solve(b); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:45:40: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ConjugateGradient >; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ cgm_RcppEigen.cpp:28:35: required from here 28 | MatrixXd x=cg.compute(A).solve(b); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:55:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ConjugateGradient >; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ cgm_RcppEigen.cpp:28:35: required from here 28 | MatrixXd x=cg.compute(A).solve(b); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, -1, 1, true>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Block, -1, 1, true>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:48:14: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ConjugateGradient >; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ cgm_RcppEigen.cpp:28:35: required from here 28 | MatrixXd x=cg.compute(A).solve(b); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ConjugateGradient >; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ cgm_RcppEigen.cpp:28:35: required from here 28 | MatrixXd x=cg.compute(A).solve(b); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:277: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ConjugateGradient >; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ cgm_RcppEigen.cpp:28:35: required from here 28 | MatrixXd x=cg.compute(A).solve(b); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:45:40: required from ‘void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ 45 | RealScalar rhsNorm2 = rhs.squaredNorm(); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ConjugateGradient >; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ cgm_RcppEigen.cpp:28:35: required from here 28 | MatrixXd x=cg.compute(A).solve(b); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:55:50: required from ‘void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ 55 | RealScalar residualNorm2 = residual.squaredNorm(); | ~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ConjugateGradient >; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ cgm_RcppEigen.cpp:28:35: required from here 28 | MatrixXd x=cg.compute(A).solve(b); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = add_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::Block, -1, 1, true>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:74:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ConjugateGradient >; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ cgm_RcppEigen.cpp:28:35: required from here 28 | MatrixXd x=cg.compute(A).solve(b); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:67:48: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ConjugateGradient >; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ cgm_RcppEigen.cpp:28:35: required from here 28 | MatrixXd x=cg.compute(A).solve(b); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:364:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ 364 | struct evaluator, Options, StrideType> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseUtil.h:121:8: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, Eigen::Sparse>’ 121 | struct plain_object_eval | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseSelfAdjointView.h:351:53: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const LhsView&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; LhsView = Eigen::SparseSelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; int ProductType = 7; typename Dest::Scalar = double]’ 351 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::SparseSelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, Eigen::internal::SparseSelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ConjugateGradient >; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ cgm_RcppEigen.cpp:28:35: required from here 28 | MatrixXd x=cg.compute(A).solve(b); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h:91:26: required from ‘void Eigen::DiagonalPreconditioner<_Scalar>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double]’ 91 | x = m_invdiag.array() * b.array() ; | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ConjugateGradient >; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ cgm_RcppEigen.cpp:28:35: required from here 28 | MatrixXd x=cg.compute(A).solve(b); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h:91:29: required from ‘void Eigen::DiagonalPreconditioner<_Scalar>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double]’ 91 | x = m_invdiag.array() * b.array() ; | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ConjugateGradient >; RhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ cgm_RcppEigen.cpp:28:35: required from here 28 | MatrixXd x=cg.compute(A).solve(b); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o hts.so RcppExports.o cgm_RcppEigen.o -llapack -L/home/hornik/tmp/R-d-gcc-14/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpYZ0KR6/R.INSTALL364794736074e0/hts/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-hts/00new/hts/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (hts) begin installing package ‘colourvalues’ * installing *source* package ‘bcrypt’ ... ** package ‘bcrypt’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpGeJs3g/R.INSTALL365d3e4536ed0f/bcrypt/src' rm -f bcrypt.so bcrypt_r.o register.o bcrypt/libstatbcrypt.a bcrypt/bcrypt.o bcrypt/blowfish.o bcrypt/bcrypt_pbkdf.o bcrypt/sha2.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ibcrypt -DSTRICT_R_HEADERS -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c bcrypt_r.c -o bcrypt_r.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ibcrypt -DSTRICT_R_HEADERS -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c register.c -o register.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ibcrypt -DSTRICT_R_HEADERS -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c bcrypt/bcrypt.c -o bcrypt/bcrypt.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ibcrypt -DSTRICT_R_HEADERS -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c bcrypt/blowfish.c -o bcrypt/blowfish.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ibcrypt -DSTRICT_R_HEADERS -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c bcrypt/bcrypt_pbkdf.c -o bcrypt/bcrypt_pbkdf.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ibcrypt -DSTRICT_R_HEADERS -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c bcrypt/sha2.c -o bcrypt/sha2.o ar rcs bcrypt/libstatbcrypt.a bcrypt/bcrypt.o bcrypt/blowfish.o bcrypt/bcrypt_pbkdf.o bcrypt/sha2.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o bcrypt.so bcrypt_r.o register.o -Lbcrypt -lstatbcrypt -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpGeJs3g/R.INSTALL365d3e4536ed0f/bcrypt/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-bcrypt/00new/bcrypt/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (bcrypt) begin installing package ‘geohashTools’ * installing *source* package ‘shinyvalidate’ ... ** package ‘shinyvalidate’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (shinyvalidate) begin installing package ‘leafgl’ * installing *source* package ‘mschart’ ... ** package ‘mschart’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mschart) begin installing package ‘latexpdf’ * installing *source* package ‘archive’ ... ** package ‘archive’ successfully unpacked and MD5 sums checked ** using staged installation ** Running ./configure Found pkg-config cflags and libs! PKG_CONFIG_PATH= PKG_CFLAGS= PKG_LIBS=-larchive ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpKhz5o0/R.INSTALL364b79677ff25e/archive/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Icpp11/include -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cli/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c archive.cpp -o archive.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Icpp11/include -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cli/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c archive_extract.cpp -o archive_extract.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Icpp11/include -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cli/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c archive_read.cpp -o archive_read.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Icpp11/include -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cli/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c archive_write.cpp -o archive_write.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Icpp11/include -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cli/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c archive_write_direct.cpp -o archive_write_direct.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Icpp11/include -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cli/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c archive_write_files.cpp -o archive_write_files.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Icpp11/include -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cli/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c cpp11.cpp -o cpp11.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Icpp11/include -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cli/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c r_archive.cpp -o r_archive.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Icpp11/include -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cli/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c connection/connection.c -o connection/connection.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o archive.so archive.o archive_extract.o archive_read.o archive_write.o archive_write_direct.o archive_write_files.o cpp11.o r_archive.o -larchive -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpKhz5o0/R.INSTALL364b79677ff25e/archive/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-archive/00new/archive/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (archive) begin installing package ‘csv’ * installing *source* package ‘geohashTools’ ... ** package ‘geohashTools’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpA1Xstp/R.INSTALL365eaf2d1532f9/geohashTools/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c decode.c -o decode.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c encode.c -o encode.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c neighbors.c -o neighbors.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utils.c -o utils.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o geohashTools.so decode.o encode.o init.o neighbors.o utils.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpA1Xstp/R.INSTALL365eaf2d1532f9/geohashTools/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-geohashTools/00new/geohashTools/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (geohashTools) begin installing package ‘secretbase’ * installing *source* package ‘vaultr’ ... ** package ‘vaultr’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (vaultr) begin installing package ‘svgPanZoom’ * installing *source* package ‘distill’ ... ** package ‘distill’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (distill) begin installing package ‘wav’ * installing *source* package ‘latexpdf’ ... ** package ‘latexpdf’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (latexpdf) begin installing package ‘cicerone’ * installing *source* package ‘leafgl’ ... ** package ‘leafgl’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (leafgl) begin installing package ‘protoclust’ * installing *source* package ‘csv’ ... ** package ‘csv’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (csv) begin installing package ‘TreeTools’ * installing *source* package ‘svgPanZoom’ ... ** package ‘svgPanZoom’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (svgPanZoom) begin installing package ‘cereal’ * installing *source* package ‘paws.developer.tools’ ... ** package ‘paws.developer.tools’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (paws.developer.tools) begin installing package ‘rapidoc’ * installing *source* package ‘secretbase’ ... ** package ‘secretbase’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpl0mux4/R.INSTALL365fe14b07056a/secretbase/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c base.c -o base.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c secret.c -o secret.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c secret2.c -o secret2.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c secret3.c -o secret3.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o secretbase.so base.o init.o secret.o secret2.o secret3.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpl0mux4/R.INSTALL365fe14b07056a/secretbase/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-secretbase/00new/secretbase/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (secretbase) begin installing package ‘mlr3data’ * installing *source* package ‘protoclust’ ... ** package ‘protoclust’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmprB26hA/R.INSTALL3660ab145ae5e1/protoclust/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c hier.c -o hier.o hier.c: In function ‘hier’: hier.c:194:5: warning: this ‘for’ clause does not guard... [-Wmisleading-indentation] 194 | for(j = 0; j < imerge; j++) | ^~~ hier.c:204:7: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘for’ 204 | ii = lt(imerge+1,imerge,n); | ^~ hier.c: In function ‘minimaxpoint’: hier.c:442:10: warning: ‘mm’ may be used uninitialized [-Wmaybe-uninitialized] 442 | return mm; | ^~ hier.c:428:7: note: ‘mm’ was declared here 428 | int mm; | ^~ hier.c: In function ‘findNN’: hier.c:346:29: warning: ‘nn’ may be used uninitialized [-Wmaybe-uninitialized] 346 | mincomplete = completelink(dmax, n, clusters[nn], nn, clusters[i], i); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ hier.c:328:7: note: ‘nn’ was declared here 328 | int nn; | ^~ hier.c: In function ‘hier’: hier.c:274:26: warning: ‘imerge’ may be used uninitialized [-Wmaybe-uninitialized] 274 | Cluster *cur = clusters[imerge]; | ^ hier.c:28:20: note: ‘imerge’ was declared here 28 | int i, j, k, ii, imerge, jmerge, reverse; | ^~~~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c protoclust_init.c -o protoclust_init.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o protoclust.so hier.o protoclust_init.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmprB26hA/R.INSTALL3660ab145ae5e1/protoclust/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-protoclust/00new/protoclust/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (protoclust) begin installing package ‘paws.machine.learning’ * installing *source* package ‘cicerone’ ... ** package ‘cicerone’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (cicerone) begin installing package ‘stacks’ * installing *source* package ‘rapidoc’ ... ** package ‘rapidoc’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rapidoc) begin installing package ‘uaparserjs’ * installing *source* package ‘cereal’ ... ** package ‘cereal’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (cereal) begin installing package ‘blogdown’ * installing *source* package ‘nycflights23’ ... ** package ‘nycflights23’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (nycflights23) begin installing package ‘iotarelr’ * installing *source* package ‘dcm2’ ... ** package ‘dcm2’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpczLI95/R.INSTALL365926699feefd/dcm2/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Mord.cpp -o Mord.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o dcm2.so Mord.o RcppExports.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpczLI95/R.INSTALL365926699feefd/dcm2/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-dcm2/00new/dcm2/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (dcm2) begin installing package ‘irrCAC’ * installing *source* package ‘Require’ ... ** package ‘Require’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location Warning in file(con, "r") : cannot open file '/home/hornik/tmp/CRAN_recheck/Library/Require/DESCRIPTION': No such file or directory Error in file(con, "r") : cannot open the connection ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Require) begin installing package ‘smotefamily’ * installing *source* package ‘uaparserjs’ ... ** package ‘uaparserjs’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (uaparserjs) begin installing package ‘vegawidget’ * installing *source* package ‘blogdown’ ... ** package ‘blogdown’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (blogdown) begin installing package ‘ddalpha’ * installing *source* package ‘irrCAC’ ... ** package ‘irrCAC’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (irrCAC) begin installing package ‘nestedmodels’ * installing *source* package ‘bioacoustics’ ... ** package ‘bioacoustics’ successfully unpacked and MD5 sums checked ** using staged installation checking for gcc... gcc-14 checking whether the C compiler works... yes checking for C compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether we are using the GNU C compiler... yes checking whether gcc-14 accepts -g... yes checking for gcc-14 option to accept ISO C89... none needed checking whether we are using the GNU C++ compiler... yes checking whether g++-14 -std=gnu++17 accepts -g... yes configure: CXX: g++-14 -std=gnu++17 checking for cmake... cmake checking for g++-14 -std=gnu++17 option to support OpenMP... -fopenmp checking for gcc-14 option to support OpenMP... -fopenmp checking how to run the C preprocessor... gcc-14 -E checking for grep that handles long lines and -e... /usr/bin/grep checking for egrep... /usr/bin/grep -E checking for ANSI C header files... yes checking for sys/types.h... yes checking for sys/stat.h... yes checking for stdlib.h... yes checking for string.h... yes checking for memory.h... yes checking for strings.h... yes checking for inttypes.h... yes checking for stdint.h... yes checking for unistd.h... yes checking fftw3.h usability... yes checking fftw3.h presence... yes checking for fftw3.h... yes checking for library containing fftw_plan_r2r_1d... -lfftw3 configure: Suitable fftw3 library found. configure: creating ./config.status config.status: creating src/Makevars ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ using C++11 make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpe4C7SL/R.INSTALL3626df706a55d6/bioacoustics/src' g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -g -O2 -Wall -pedantic -mtune=native -std=gnu++11 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -g -O2 -Wall -pedantic -mtune=native -std=gnu++11 -fpic -g -O2 -Wall -pedantic -mtune=native -c bat_bioacoustics.cpp -o bat_bioacoustics.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -g -O2 -Wall -pedantic -mtune=native -std=gnu++11 -fpic -g -O2 -Wall -pedantic -mtune=native -c bat_classify.cpp -o bat_classify.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -g -O2 -Wall -pedantic -mtune=native -std=gnu++11 -fpic -g -O2 -Wall -pedantic -mtune=native -c bb_analyse.cpp -o bb_analyse.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -g -O2 -Wall -pedantic -mtune=native -std=gnu++11 -fpic -g -O2 -Wall -pedantic -mtune=native -c bb_detect.cpp -o bb_detect.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -g -O2 -Wall -pedantic -mtune=native -std=gnu++11 -fpic -g -O2 -Wall -pedantic -mtune=native -c bb_extract.cpp -o bb_extract.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -g -O2 -Wall -pedantic -mtune=native -std=gnu++11 -fpic -g -O2 -Wall -pedantic -mtune=native -c bc_blob_finder.cpp -o bc_blob_finder.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -g -O2 -Wall -pedantic -mtune=native -std=gnu++11 -fpic -g -O2 -Wall -pedantic -mtune=native -c bc_features.cpp -o bc_features.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -g -O2 -Wall -pedantic -mtune=native -std=gnu++11 -fpic -g -O2 -Wall -pedantic -mtune=native -c bc_img_processing.cpp -o bc_img_processing.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -g -O2 -Wall -pedantic -mtune=native -std=gnu++11 -fpic -g -O2 -Wall -pedantic -mtune=native -c fft.cpp -o fft.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -g -O2 -Wall -pedantic -mtune=native -std=gnu++11 -fpic -g -O2 -Wall -pedantic -mtune=native -c read_wac.cpp -o read_wac.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -g -O2 -Wall -pedantic -mtune=native -std=gnu++11 -fpic -g -O2 -Wall -pedantic -mtune=native -c spectro.cpp -o spectro.o g++-14 -std=gnu++11 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o bioacoustics.so RcppExports.o bat_bioacoustics.o bat_classify.o bb_analyse.o bb_detect.o bb_extract.o bc_blob_finder.o bc_features.o bc_img_processing.o fft.o read_wac.o spectro.o -lfftw3 -fopenmp -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpe4C7SL/R.INSTALL3626df706a55d6/bioacoustics/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-bioacoustics/00new/bioacoustics/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (bioacoustics) begin installing package ‘QSARdata’ * installing *source* package ‘smotefamily’ ... ** package ‘smotefamily’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (smotefamily) begin installing package ‘xrf’ * installing *source* package ‘pkgcache’ ... ** package ‘pkgcache’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpeUEHxf/R.INSTALL365d7d695c8885/pkgcache/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c errors.c -o errors.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c lib.c -o lib.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c winfiles.c -o winfiles.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o pkgcache.so errors.o init.o lib.o winfiles.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpeUEHxf/R.INSTALL365d7d695c8885/pkgcache/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-pkgcache/00new/pkgcache/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pkgcache) begin installing package ‘assertr’ * installing *source* package ‘vegawidget’ ... ** package ‘vegawidget’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (vegawidget) begin installing package ‘colorBlindness’ * installing *source* package ‘wav’ ... ** package ‘wav’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ using C++11 make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpoZ6ZUC/R.INSTALL36600d7b071714/wav/src' g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c dr.cpp -o dr.o g++-14 -std=gnu++11 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o wav.so RcppExports.o dr.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpoZ6ZUC/R.INSTALL36600d7b071714/wav/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-wav/00new/wav/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (wav) begin installing package ‘fixtuRes’ * installing *source* package ‘QSARdata’ ... ** package ‘QSARdata’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (QSARdata) begin installing package ‘gdalcubes’ * installing *source* package ‘geodata’ ... ** package ‘geodata’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (geodata) begin installing package ‘mAr’ * installing *source* package ‘assertr’ ... ** package ‘assertr’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (assertr) begin installing package ‘rEDM’ * installing *source* package ‘stacks’ ... ** package ‘stacks’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (stacks) begin installing package ‘S7’ * installing *source* package ‘LaF’ ... ** package ‘LaF’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpm2l4u7/R.INSTALL36424b3a974e4e/LaF/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c LaF.cpp -o LaF.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c column.cpp -o column.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c conversion.cpp -o conversion.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c csvreader.cpp -o csvreader.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c doublecolumn.cpp -o doublecolumn.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c factorcolumn.cpp -o factorcolumn.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c file.cpp -o file.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fwfreader.cpp -o fwfreader.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c init.cpp -o init.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c intcolumn.cpp -o intcolumn.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c reader.cpp -o reader.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c readermanager.cpp -o readermanager.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c stats.cpp -o stats.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c stringcolumn.cpp -o stringcolumn.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c textutils.cpp -o textutils.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o LaF.so LaF.o column.o conversion.o csvreader.o doublecolumn.o factorcolumn.o file.o fwfreader.o init.o intcolumn.o reader.o readermanager.o stats.o stringcolumn.o textutils.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpm2l4u7/R.INSTALL36424b3a974e4e/LaF/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-LaF/00new/LaF/libs ** R ** inst ** byte-compile and prepare package for lazy loading Creating a generic function for ‘nrow’ from package ‘base’ in package ‘LaF’ Creating a generic function for ‘ncol’ from package ‘base’ in package ‘LaF’ ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (LaF) begin installing package ‘googleComputeEngineR’ * installing *source* package ‘mAr’ ... ** package ‘mAr’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mAr) begin installing package ‘envir’ * installing *source* package ‘mlr3data’ ... ** package ‘mlr3data’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlr3data) begin installing package ‘MortalityTables’ * installing *source* package ‘envir’ ... ** package ‘envir’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (envir) begin installing package ‘morphemepiece.data’ * installing *source* package ‘fixtuRes’ ... ** package ‘fixtuRes’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fixtuRes) begin installing package ‘piecemaker’ * installing *source* package ‘colorBlindness’ ... ** package ‘colorBlindness’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (colorBlindness) begin installing package ‘BTM’ * installing *source* package ‘morphemepiece.data’ ... ** package ‘morphemepiece.data’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (morphemepiece.data) begin installing package ‘stm’ * installing *source* package ‘S7’ ... ** package ‘S7’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpP7fT8L/R.INSTALL36695c3fe2f/S7/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c method-dispatch.c -o method-dispatch.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o S7.so init.o method-dispatch.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpP7fT8L/R.INSTALL36695c3fe2f/S7/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-S7/00new/S7/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (S7) begin installing package ‘quanteda.textmodels’ * installing *source* package ‘piecemaker’ ... ** package ‘piecemaker’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (piecemaker) begin installing package ‘bio3d’ * installing *source* package ‘GSE’ ... ** package ‘GSE’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-3) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpoV6F1E/R.INSTALL362ae458bcf619/GSE/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c cov-em.cpp -o cov-em.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c emve.cpp -o emve.o emve.cpp: In function ‘arma::cube emve_resamp(arma::mat, arma::umat, arma::vec, int, int, arma::vec, arma::mat, int, arma::uvec, arma::umat, arma::uvec, arma::umat, arma::umat, arma::uvec, int, int, int, arma::uvec, arma::vec, arma::vec, int)’: emve.cpp:193:20: warning: comparison of integer expressions of different signedness: ‘arma::uword’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 193 | if( rk == p){ | ~~~^~~~ emve.cpp:216:24: warning: comparison of integer expressions of different signedness: ‘arma::uword’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 216 | if( rk == p){ | ~~~^~~~ emve.cpp:153:16: warning: variable ‘max_cand_scale’ set but not used [-Wunused-but-set-variable] 153 | double max_cand_scale; | ^~~~~~~~~~~~~~ emve.cpp:154:16: warning: variable ‘min_cand_scale’ set but not used [-Wunused-but-set-variable] 154 | double min_cand_scale; | ^~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gse-rocke.cpp -o gse-rocke.o gse-rocke.cpp: In function ‘SEXPREC* GSE_Rocke(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP)’: gse-rocke.cpp:46:13: warning: unused variable ‘print_step’ [-Wunused-variable] 46 | int print_step = as(Print_step); | ^~~~~~~~~~ gse-rocke.cpp:131:13: warning: unused variable ‘ximp_update’ [-Wunused-variable] 131 | int ximp_update = update(x, Omega, Sigma0, false, mu0, stilde0, miss_group_unique, miss_group_counts, tuning_const_group, gamma_tune_group, wgts_mem, wgtsp_mem, ximp_mem); | ^~~~~~~~~~~ gse-rocke.cpp: In function ‘arma::mat iterS(arma::mat, arma::mat, arma::mat, bool, arma::mat, double, arma::umat, arma::uvec, arma::vec, arma::vec, double*, double*, double*, int*)’: gse-rocke.cpp:263:50: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 263 | for(int jj=0; jj < p; jj++) ximp(rowid_start + m, jj) = xpred(0, jj); // new July 28, 2014 for outputing the imputed data matrix | ~~~^~~ gse-rocke.cpp:162:13: warning: variable ‘error_code’ set but not used [-Wunused-but-set-variable] 162 | int error_code = *error_code_mem; // 0 = no error, 1 = non-positive scale, 2 = non-positive definite est scatter | ^~~~~~~~~~ gse-rocke.cpp: In function ‘arma::mat gradient(arma::mat, arma::mat, arma::mat, arma::mat, arma::mat, arma::mat, double, arma::umat, arma::uvec, arma::vec, arma::vec, double, int, double)’: gse-rocke.cpp:295:13: warning: unused variable ‘n’ [-Wunused-variable] 295 | int n = x.n_rows; | ^ gse-rocke.cpp: In function ‘int update(arma::mat, arma::mat, arma::mat, bool, arma::mat, double, arma::umat, arma::uvec, arma::vec, arma::vec, double*, double*, double*)’: gse-rocke.cpp:426:50: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 426 | for(int jj=0; jj < p; jj++) ximp(rowid_start + m, jj) = xpred(0, jj); // new July 28, 2014 for outputing the imputed data matrix | ~~~^~~ gse-rocke.cpp:416:40: warning: unused variable ‘weight2’ [-Wunused-variable] 416 | double weight2 = weight1 * (md / ppi); | ^~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gse.cpp -o gse.o gse.cpp: In function ‘SEXPREC* GSE_Rcpp(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP)’: gse.cpp:41:9: warning: unused variable ‘print_step’ [-Wunused-variable] 41 | int print_step = as(Print_step); | ^~~~~~~~~~ gse.cpp:102:9: warning: unused variable ‘ximp_update’ [-Wunused-variable] 102 | int ximp_update = update(x, Omega, Sigma0, false, mu0, stilde0, miss_group_unique, miss_group_counts, tuning_const_group, wgts_mem, wgtsp_mem, ximp_mem); | ^~~~~~~~~~~ gse.cpp: In function ‘arma::mat iterS(arma::mat, arma::mat, arma::mat, bool, arma::mat, double, arma::umat, arma::uvec, arma::vec, double*, double*, double*, int*)’: gse.cpp:233:34: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 233 | for(int jj=0; jj < p; jj++) ximp(rowid_start + m, jj) = xpred(0, jj); // new July 28, 2014 for outputing the imputed data matrix | ~~~^~~ gse.cpp:132:9: warning: variable ‘error_code’ set but not used [-Wunused-but-set-variable] 132 | int error_code = *error_code_mem; // 0 = no error, 1 = non-positive scale, 2 = non-positive definite est scatter | ^~~~~~~~~~ gse.cpp: In function ‘int update(arma::mat, arma::mat, arma::mat, bool, arma::mat, double, arma::umat, arma::uvec, arma::vec, double*, double*, double*)’: gse.cpp:347:34: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 347 | for(int jj=0; jj < p; jj++) ximp(rowid_start + m, jj) = xpred(0, jj); // new July 28, 2014 for outputing the imputed data matrix | ~~~^~~ gse.cpp:337:24: warning: unused variable ‘weight2’ [-Wunused-variable] 337 | double weight2 = weight1 * (md / ppi); | ^~~~~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o GSE.so cov-em.o emve.o gse-rocke.o gse.o init.o -llapack -L/home/hornik/tmp/R-d-gcc-14/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpoV6F1E/R.INSTALL362ae458bcf619/GSE/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-GSE/00new/GSE/libs ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (GSE) begin installing package ‘muscle’ * installing *source* package ‘b64’ ... ** package ‘b64’ successfully unpacked and MD5 sums checked ** using staged installation Using cargo 1.80.1 (376290515 2024-07-16) Using rustc 1.80.1 ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp4vo6OM/R.INSTALL3642944254868/b64/src' rm -Rf b64.so ./rust/target/release/libb64.a entrypoint.o /home/hornik/tmp/scratch/Rtmp4vo6OM/R.INSTALL3642944254868/b64/src/.cargo /home/hornik/tmp/scratch/Rtmp4vo6OM/R.INSTALL3642944254868/b64/src/vendor gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c entrypoint.c -o entrypoint.o if [ -f ./rust/vendor.tar.xz ]; then \ tar xf rust/vendor.tar.xz && \ mkdir -p /home/hornik/tmp/scratch/Rtmp4vo6OM/R.INSTALL3642944254868/b64/src/.cargo && \ cp rust/vendor-config.toml /home/hornik/tmp/scratch/Rtmp4vo6OM/R.INSTALL3642944254868/b64/src/.cargo/config.toml; \ fi # In some environments, ~/.cargo/bin might not be included in PATH, so we need # to set it here to ensure cargo can be invoked. It is appended to PATH and # therefore is only used if cargo is absent from the user's PATH. if [ "" != "true" ]; then \ export CARGO_HOME=/home/hornik/tmp/scratch/Rtmp4vo6OM/R.INSTALL3642944254868/b64/src/.cargo; \ fi && \ export PATH="/usr/local/bin:/usr/bin:/bin:/home/hornik/.cargo/bin" && \ cargo build -j 2 --offline --lib --release --manifest-path=./rust/Cargo.toml --target-dir ./rust/target && \ echo `cargo --version` && echo `rustc --version`; Compiling proc-macro2 v1.0.86 Compiling unicode-ident v1.0.13 Compiling libR-sys v0.7.1 Compiling paste v1.0.15 Compiling quote v1.0.37 Compiling syn v2.0.77 Compiling either v1.13.0 Compiling extendr-api v0.7.1 Compiling once_cell v1.19.0 Compiling itertools v0.12.1 Compiling base64 v0.21.7 Compiling extendr-macros v0.7.1 Compiling b64 v0.1.0 (/home/hornik/tmp/scratch/Rtmp4vo6OM/R.INSTALL3642944254868/b64/src/rust) Finished `release` profile [optimized] target(s) in 47.56s cargo 1.80.1 (376290515 2024-07-16) rustc 1.80.1 rm -Rf /home/hornik/tmp/scratch/Rtmp4vo6OM/R.INSTALL3642944254868/b64/src/.cargo /home/hornik/tmp/scratch/Rtmp4vo6OM/R.INSTALL3642944254868/b64/src/vendor ./rust/target/release/build; \ gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o b64.so entrypoint.o -L./rust/target/release -lb64 -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp4vo6OM/R.INSTALL3642944254868/b64/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-b64/00new/b64/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (b64) begin installing package ‘orca’ * installing *source* package ‘mmand’ ... ** package ‘mmand’ successfully unpacked and MD5 sums checked ** using staged installation checking whether the C++ compiler works... yes checking for C++ compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether we are using the GNU C++ compiler... yes checking whether g++-14 -std=gnu++17 accepts -g... yes checking for OpenMP flag of C++ compiler... -fopenmp configure: creating ./config.status config.status: creating src/Makevars ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmppH9VuP/R.INSTALL36527b32c50ab9/mmand/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DLEMON_DISABLE_ASSERTS -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c Array.cpp -o Array.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DLEMON_DISABLE_ASSERTS -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c Componenter.cpp -o Componenter.o In file included from Componenter.cpp:6: lemon/connectivity.h: In function ‘bool lemon::stronglyConnected(const Digraph&)’: lemon/connectivity.h:268:36: warning: typedef ‘Node’ locally defined but not used [-Wunused-local-typedefs] 268 | typedef typename Digraph::Node Node; | ^~~~ lemon/connectivity.h: In function ‘int lemon::countStronglyConnectedComponents(const Digraph&)’: lemon/connectivity.h:336:35: warning: typedef ‘Arc’ locally defined but not used [-Wunused-local-typedefs] 336 | typedef typename Digraph::Arc Arc; | ^~~ lemon/connectivity.h:338:37: warning: typedef ‘ArcIt’ locally defined but not used [-Wunused-local-typedefs] 338 | typedef typename Digraph::ArcIt ArcIt; | ^~~~~ lemon/connectivity.h: In function ‘void lemon::topologicalSort(const Digraph&, NodeMap&)’: lemon/connectivity.h:1346:36: warning: typedef ‘Node’ locally defined but not used [-Wunused-local-typedefs] 1346 | typedef typename Digraph::Node Node; | ^~~~ lemon/connectivity.h:1348:35: warning: typedef ‘Arc’ locally defined but not used [-Wunused-local-typedefs] 1348 | typedef typename Digraph::Arc Arc; | ^~~ lemon/connectivity.h: In function ‘bool lemon::bipartite(const Graph&)’: lemon/connectivity.h:1561:35: warning: typedef ‘ArcIt’ locally defined but not used [-Wunused-local-typedefs] 1561 | typedef typename Graph::ArcIt ArcIt; | ^~~~~ lemon/connectivity.h: In function ‘bool lemon::bipartitePartitions(const Graph&, NodeMap&)’: lemon/connectivity.h:1606:34: warning: typedef ‘Node’ locally defined but not used [-Wunused-local-typedefs] 1606 | typedef typename Graph::Node Node; | ^~~~ lemon/connectivity.h:1608:35: warning: typedef ‘ArcIt’ locally defined but not used [-Wunused-local-typedefs] 1608 | typedef typename Graph::ArcIt ArcIt; | ^~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DLEMON_DISABLE_ASSERTS -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c Distancer.cpp -o Distancer.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DLEMON_DISABLE_ASSERTS -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c Kernel.cpp -o Kernel.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DLEMON_DISABLE_ASSERTS -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c Morpher.cpp -o Morpher.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DLEMON_DISABLE_ASSERTS -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c Resampler.cpp -o Resampler.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DLEMON_DISABLE_ASSERTS -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c main.cpp -o main.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o mmand.so Array.o Componenter.o Distancer.o Kernel.o Morpher.o Resampler.o main.o -fopenmp -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmppH9VuP/R.INSTALL36527b32c50ab9/mmand/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-mmand/00new/mmand/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mmand) begin installing package ‘clime’ * installing *source* package ‘xrf’ ... ** package ‘xrf’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (xrf) begin installing package ‘cffr’ * installing *source* package ‘googleComputeEngineR’ ... ** package ‘googleComputeEngineR’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (googleComputeEngineR) begin installing package ‘qwraps2’ * installing *source* package ‘clime’ ... ** package ‘clime’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (clime) begin installing package ‘secret’ * installing *source* package ‘nestedmodels’ ... ** package ‘nestedmodels’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (nestedmodels) begin installing package ‘REDCapR’ * installing *source* package ‘babynames’ ... ** package ‘babynames’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (babynames) begin installing package ‘cleanrmd’ * installing *source* package ‘iotarelr’ ... ** package ‘iotarelr’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpeQLEF1/R.INSTALL3663d1698f82fb/iotarelr/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c estimation.cpp -o estimation.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o iotarelr.so RcppExports.o estimation.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpeQLEF1/R.INSTALL3663d1698f82fb/iotarelr/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-iotarelr/00new/iotarelr/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (iotarelr) begin installing package ‘rlme’ * installing *source* package ‘MortalityTables’ ... ** package ‘MortalityTables’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (MortalityTables) begin installing package ‘lemon’ * installing *source* package ‘secret’ ... ** package ‘secret’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (secret) begin installing package ‘skewt’ * installing *source* package ‘cleanrmd’ ... ** package ‘cleanrmd’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (cleanrmd) begin installing package ‘sos’ * installing *source* package ‘skewt’ ... ** package ‘skewt’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (skewt) begin installing package ‘prereg’ * installing *source* package ‘cffr’ ... ** package ‘cffr’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (cffr) begin installing package ‘missRanger’ * installing *source* package ‘prereg’ ... ** package ‘prereg’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (prereg) begin installing package ‘rsconnect’ * installing *source* package ‘REDCapR’ ... ** package ‘REDCapR’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (REDCapR) begin installing package ‘Hmisc’ * installing *source* package ‘sos’ ... ** package ‘sos’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (sos) begin installing package ‘pingr’ * installing *source* package ‘missRanger’ ... ** package ‘missRanger’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (missRanger) begin installing package ‘rgl’ * installing *source* package ‘orca’ ... ** package ‘orca’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpAjcaBk/R.INSTALL366dd96a144fd3/orca/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c count.cpp -o count.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o orca.so count.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpAjcaBk/R.INSTALL366dd96a144fd3/orca/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-orca/00new/orca/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (orca) begin installing package ‘pdp’ * installing *source* package ‘pingr’ ... ** package ‘pingr’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpIH2S6o/R.INSTALL36715c164439ab/pingr/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c dns.c -o dns.o dns.c: In function ‘r_nsl’: dns.c:363:15: warning: variable ‘mx’ set but not used [-Wunused-but-set-variable] 363 | u_int16_t mx; | ^~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c errors.c -o errors.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rping.c -o rping.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o pingr.so dns.o errors.o init.o rping.o -lresolv -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpIH2S6o/R.INSTALL36715c164439ab/pingr/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-pingr/00new/pingr/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pingr) begin installing package ‘streamR’ * installing *source* package ‘lemon’ ... ** package ‘lemon’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (lemon) begin installing package ‘IRkernel’ * installing *source* package ‘streamR’ ... ** package ‘streamR’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (streamR) begin installing package ‘Ternary’ * installing *source* package ‘rsconnect’ ... ** package ‘rsconnect’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rsconnect) begin installing package ‘DRR’ * installing *source* package ‘paws.storage’ ... ** package ‘paws.storage’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (paws.storage) begin installing package ‘parzer’ * installing *source* package ‘pdp’ ... ** package ‘pdp’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-3) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpuO5SXM/R.INSTALL3671a35f062f9c/pdp/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c PartialGBM.cpp -o PartialGBM.o PartialGBM.cpp: In function ‘SEXPREC* PartialGBM(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP)’: PartialGBM.cpp:30:17: warning: variable ‘hr’ set but not used [-Wunused-but-set-variable] 30 | unsigned long hr = 0; | ^~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c in_out.c -o in_out.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c pdp-init.c -o pdp-init.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o pdp.so PartialGBM.o in_out.o pdp-init.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpuO5SXM/R.INSTALL3671a35f062f9c/pdp/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-pdp/00new/pdp/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pdp) begin installing package ‘fabR’ * installing *source* package ‘vapour’ ... ** package ‘vapour’ successfully unpacked and MD5 sums checked ** using staged installation configure: CC: gcc-14 configure: CXX: g++-14 -std=gnu++17 checking for gdal-config... /usr/bin/gdal-config checking gdal-config usability... yes configure: GDAL: 3.9.2 checking GDAL version >= 2.0.1... yes checking for gcc... gcc-14 checking whether the C compiler works... yes checking for C compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether the compiler supports GNU C... yes checking whether gcc-14 accepts -g... yes checking for gcc-14 option to enable C11 features... none needed checking for stdio.h... yes checking for stdlib.h... yes checking for string.h... yes checking for inttypes.h... yes checking for stdint.h... yes checking for strings.h... yes checking for sys/stat.h... yes checking for sys/types.h... yes checking for unistd.h... yes checking for gdal.h... yes checking GDAL: linking with --libs only... yes checking GDAL: checking whether PROJ is available for linking:... yes checking GDAL: checking whether PROJ is available for running:... yes configure: GDAL: 3.9.2 configure: pkg-config proj exists, will use it configure: using proj.h. configure: PROJ: 9.5.0 configure: LIBS: -lproj -L/usr/lib/x86_64-linux-gnu -lgdal checking PROJ: checking whether PROJ and sqlite3 are available for linking:... yes configure: Package CPP flags: -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal configure: Package LIBS: -L/usr/lib/x86_64-linux-gnu -lgdal -lproj configure: creating ./config.status config.status: creating src/Makevars ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpozQYAG/R.INSTALL363b193bef81ae/vapour/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I../inst/include/ -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c 000-stream.cpp -o 000-stream.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I../inst/include/ -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c 000-warpgeneral.cpp -o 000-warpgeneral.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I../inst/include/ -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c 00_config.cpp -o 00_config.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I../inst/include/ -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c 00_gdal.cpp -o 00_gdal.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I../inst/include/ -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c 00_geometry.cpp -o 00_geometry.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I../inst/include/ -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c 00_raster.cpp -o 00_raster.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I../inst/include/ -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c 00_raster_block_io.cpp -o 00_raster_block_io.o In file included from 00_raster_block_io.cpp:2: ../inst/include/gdalreadwrite/gdalreadwrite.h: In function ‘Rcpp::CharacterVector gdalreadwrite::gdal_create(Rcpp::CharacterVector, Rcpp::CharacterVector, Rcpp::NumericVector, Rcpp::IntegerVector, Rcpp::CharacterVector, Rcpp::IntegerVector, Rcpp::CharacterVector, Rcpp::List)’: ../inst/include/gdalreadwrite/gdalreadwrite.h:105:10: warning: unused variable ‘err’ [-Wunused-variable] 105 | OGRErr err = oSRS.exportToWkt(&pszWKT, optionsWKT); | ^~~ 00_raster_block_io.cpp: In function ‘Rcpp::NumericVector vapour_read_raster_value_cpp(Rcpp::CharacterVector, Rcpp::IntegerVector, Rcpp::IntegerVector, Rcpp::IntegerVector, Rcpp::CharacterVector)’: 00_raster_block_io.cpp:71:10: warning: variable ‘err’ set but not used [-Wunused-but-set-variable] 71 | CPLErr err; | ^~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I../inst/include/ -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c 00_utils.cpp -o 00_utils.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I../inst/include/ -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c 00_vrt.cpp -o 00_vrt.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I../inst/include/ -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I../inst/include/ -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c warp_file.cpp -o warp_file.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I../inst/include/ -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c warpscratch.cpp -o warpscratch.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o vapour.so 000-stream.o 000-warpgeneral.o 00_config.o 00_gdal.o 00_geometry.o 00_raster.o 00_raster_block_io.o 00_utils.o 00_vrt.o RcppExports.o warp_file.o warpscratch.o -L/usr/lib/x86_64-linux-gnu -lgdal -lproj -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpozQYAG/R.INSTALL363b193bef81ae/vapour/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-vapour/00new/vapour/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (vapour) begin installing package ‘contentid’ * installing *source* package ‘IRkernel’ ... ** package ‘IRkernel’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (IRkernel) begin installing package ‘geobr’ * installing *source* package ‘BTM’ ... ** package ‘BTM’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp0GJ4Yv/R.INSTALL366b466f9ed3ac/BTM/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c infer.cpp -o infer.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c model.cpp -o model.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rcpp_BTM.cpp -o rcpp_BTM.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o BTM.so RcppExports.o infer.o model.o rcpp_BTM.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp0GJ4Yv/R.INSTALL366b466f9ed3ac/BTM/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-BTM/00new/BTM/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (BTM) begin installing package ‘thor’ * installing *source* package ‘contentid’ ... ** package ‘contentid’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (contentid) begin installing package ‘pins’ * installing *source* package ‘Ternary’ ... ** package ‘Ternary’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Ternary) begin installing package ‘censable’ * installing *source* package ‘geobr’ ... ** package ‘geobr’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (geobr) begin installing package ‘EML’ * installing *source* package ‘filearray’ ... ** package ‘filearray’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpz4d9Q0/R.INSTALL364f4f332ae81c/filearray/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c collapse.cpp -o collapse.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c conversion.cpp -o conversion.o conversion.cpp: In function ‘SEXPREC* convert_as2(SEXP, SEXP, SEXPTYPE)’: conversion.cpp:293:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘SEXPTYPE’ {aka ‘unsigned int’} [-Wsign-compare] 293 | if( TYPEOF(y) != type ){ | ~~~~~~~~~~^~~~~~~ conversion.cpp: In function ‘void realToFloat(double*, float*, size_t)’: conversion.cpp:405:29: warning: comparison of integer expressions of different signedness: ‘R_xlen_t’ {aka ‘long int’} and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for(R_xlen_t ii = 0; ii < nelem; ii++, x++, y++){ | ~~~^~~~~~~ conversion.cpp: In function ‘void floatToReal(float*, double*, size_t)’: conversion.cpp:415:29: warning: comparison of integer expressions of different signedness: ‘R_xlen_t’ {aka ‘long int’} and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 415 | for(R_xlen_t ii = 0; ii < nelem; ii++, y++, x++){ | ~~~^~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c core.cpp -o core.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c interfaces.cpp -o interfaces.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c load.cpp -o load.o load.cpp: In function ‘SEXPREC* FARR_subset_sequential(const std::string&, const int64_t&, SEXP, SEXPTYPE, SEXP, int64_t, int64_t)’: load.cpp:66:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘SEXPTYPE’ {aka ‘unsigned int’} [-Wsign-compare] 66 | if( TYPEOF(ret) != array_memory_sxptype(array_type) ){ | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ load.cpp: In instantiation of ‘void FARRSubsetter::operator_mmap(std::size_t, std::size_t) [with T = Rcomplex; B = double; std::size_t = long unsigned int]’: load.cpp:543:19: required from ‘void FARRSubsetter::operator()(std::size_t, std::size_t) [with T = Rcomplex; B = double; std::size_t = long unsigned int]’ 543 | this->operator_mmap(begin, end); | ~~~~~~^~~~~~~~~~~~~ load.cpp:540:10: required from here 540 | void operator()(std::size_t begin, std::size_t end) { | ^~~~~~~~ load.cpp:342:37: warning: comparison of integer expressions of different signedness: ‘R_xlen_t’ {aka ‘long int’} and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 342 | for(R_xlen_t ii = begin; ii < end; ii++){ | ~~~^~~~~ load.cpp: In instantiation of ‘void FARRSubsetter::operator_fread(std::size_t, std::size_t) [with T = Rcomplex; B = double; std::size_t = long unsigned int]’: load.cpp:545:19: required from ‘void FARRSubsetter::operator()(std::size_t, std::size_t) [with T = Rcomplex; B = double; std::size_t = long unsigned int]’ 545 | this->operator_fread(begin, end); | ~~~~~~^~~~~~~~~~~~~~ load.cpp:540:10: required from here 540 | void operator()(std::size_t begin, std::size_t end) { | ^~~~~~~~ load.cpp:443:37: warning: comparison of integer expressions of different signedness: ‘R_xlen_t’ {aka ‘long int’} and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for(R_xlen_t ii = begin; ii < end; ii++){ | ~~~^~~~~ load.cpp: In instantiation of ‘void FARRSubsetter::operator_mmap(std::size_t, std::size_t) [with T = int; B = unsigned char; std::size_t = long unsigned int]’: load.cpp:543:19: required from ‘void FARRSubsetter::operator()(std::size_t, std::size_t) [with T = int; B = unsigned char; std::size_t = long unsigned int]’ 543 | this->operator_mmap(begin, end); | ~~~~~~^~~~~~~~~~~~~ load.cpp:540:10: required from here 540 | void operator()(std::size_t begin, std::size_t end) { | ^~~~~~~~ load.cpp:342:37: warning: comparison of integer expressions of different signedness: ‘R_xlen_t’ {aka ‘long int’} and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 342 | for(R_xlen_t ii = begin; ii < end; ii++){ | ~~~^~~~~ load.cpp: In instantiation of ‘void FARRSubsetter::operator_fread(std::size_t, std::size_t) [with T = int; B = unsigned char; std::size_t = long unsigned int]’: load.cpp:545:19: required from ‘void FARRSubsetter::operator()(std::size_t, std::size_t) [with T = int; B = unsigned char; std::size_t = long unsigned int]’ 545 | this->operator_fread(begin, end); | ~~~~~~^~~~~~~~~~~~~~ load.cpp:540:10: required from here 540 | void operator()(std::size_t begin, std::size_t end) { | ^~~~~~~~ load.cpp:443:37: warning: comparison of integer expressions of different signedness: ‘R_xlen_t’ {aka ‘long int’} and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for(R_xlen_t ii = begin; ii < end; ii++){ | ~~~^~~~~ load.cpp: In instantiation of ‘void FARRSubsetter::operator_mmap(std::size_t, std::size_t) [with T = unsigned char; B = unsigned char; std::size_t = long unsigned int]’: load.cpp:543:19: required from ‘void FARRSubsetter::operator()(std::size_t, std::size_t) [with T = unsigned char; B = unsigned char; std::size_t = long unsigned int]’ 543 | this->operator_mmap(begin, end); | ~~~~~~^~~~~~~~~~~~~ load.cpp:540:10: required from here 540 | void operator()(std::size_t begin, std::size_t end) { | ^~~~~~~~ load.cpp:342:37: warning: comparison of integer expressions of different signedness: ‘R_xlen_t’ {aka ‘long int’} and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 342 | for(R_xlen_t ii = begin; ii < end; ii++){ | ~~~^~~~~ load.cpp: In instantiation of ‘void FARRSubsetter::operator_fread(std::size_t, std::size_t) [with T = unsigned char; B = unsigned char; std::size_t = long unsigned int]’: load.cpp:545:19: required from ‘void FARRSubsetter::operator()(std::size_t, std::size_t) [with T = unsigned char; B = unsigned char; std::size_t = long unsigned int]’ 545 | this->operator_fread(begin, end); | ~~~~~~^~~~~~~~~~~~~~ load.cpp:540:10: required from here 540 | void operator()(std::size_t begin, std::size_t end) { | ^~~~~~~~ load.cpp:443:37: warning: comparison of integer expressions of different signedness: ‘R_xlen_t’ {aka ‘long int’} and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for(R_xlen_t ii = begin; ii < end; ii++){ | ~~~^~~~~ load.cpp: In instantiation of ‘void FARRSubsetter::operator_mmap(std::size_t, std::size_t) [with T = double; B = float; std::size_t = long unsigned int]’: load.cpp:543:19: required from ‘void FARRSubsetter::operator()(std::size_t, std::size_t) [with T = double; B = float; std::size_t = long unsigned int]’ 543 | this->operator_mmap(begin, end); | ~~~~~~^~~~~~~~~~~~~ load.cpp:540:10: required from here 540 | void operator()(std::size_t begin, std::size_t end) { | ^~~~~~~~ load.cpp:342:37: warning: comparison of integer expressions of different signedness: ‘R_xlen_t’ {aka ‘long int’} and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 342 | for(R_xlen_t ii = begin; ii < end; ii++){ | ~~~^~~~~ load.cpp: In instantiation of ‘void FARRSubsetter::operator_fread(std::size_t, std::size_t) [with T = double; B = float; std::size_t = long unsigned int]’: load.cpp:545:19: required from ‘void FARRSubsetter::operator()(std::size_t, std::size_t) [with T = double; B = float; std::size_t = long unsigned int]’ 545 | this->operator_fread(begin, end); | ~~~~~~^~~~~~~~~~~~~~ load.cpp:540:10: required from here 540 | void operator()(std::size_t begin, std::size_t end) { | ^~~~~~~~ load.cpp:443:37: warning: comparison of integer expressions of different signedness: ‘R_xlen_t’ {aka ‘long int’} and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for(R_xlen_t ii = begin; ii < end; ii++){ | ~~~^~~~~ load.cpp: In instantiation of ‘void FARRSubsetter::operator_mmap(std::size_t, std::size_t) [with T = double; B = double; std::size_t = long unsigned int]’: load.cpp:543:19: required from ‘void FARRSubsetter::operator()(std::size_t, std::size_t) [with T = double; B = double; std::size_t = long unsigned int]’ 543 | this->operator_mmap(begin, end); | ~~~~~~^~~~~~~~~~~~~ load.cpp:540:10: required from here 540 | void operator()(std::size_t begin, std::size_t end) { | ^~~~~~~~ load.cpp:342:37: warning: comparison of integer expressions of different signedness: ‘R_xlen_t’ {aka ‘long int’} and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 342 | for(R_xlen_t ii = begin; ii < end; ii++){ | ~~~^~~~~ load.cpp: In instantiation of ‘void FARRSubsetter::operator_fread(std::size_t, std::size_t) [with T = double; B = double; std::size_t = long unsigned int]’: load.cpp:545:19: required from ‘void FARRSubsetter::operator()(std::size_t, std::size_t) [with T = double; B = double; std::size_t = long unsigned int]’ 545 | this->operator_fread(begin, end); | ~~~~~~^~~~~~~~~~~~~~ load.cpp:540:10: required from here 540 | void operator()(std::size_t begin, std::size_t end) { | ^~~~~~~~ load.cpp:443:37: warning: comparison of integer expressions of different signedness: ‘R_xlen_t’ {aka ‘long int’} and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for(R_xlen_t ii = begin; ii < end; ii++){ | ~~~^~~~~ load.cpp: In instantiation of ‘void FARRSubsetter::operator_mmap(std::size_t, std::size_t) [with T = int; B = int; std::size_t = long unsigned int]’: load.cpp:543:19: required from ‘void FARRSubsetter::operator()(std::size_t, std::size_t) [with T = int; B = int; std::size_t = long unsigned int]’ 543 | this->operator_mmap(begin, end); | ~~~~~~^~~~~~~~~~~~~ load.cpp:540:10: required from here 540 | void operator()(std::size_t begin, std::size_t end) { | ^~~~~~~~ load.cpp:342:37: warning: comparison of integer expressions of different signedness: ‘R_xlen_t’ {aka ‘long int’} and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 342 | for(R_xlen_t ii = begin; ii < end; ii++){ | ~~~^~~~~ load.cpp: In instantiation of ‘void FARRSubsetter::operator_fread(std::size_t, std::size_t) [with T = int; B = int; std::size_t = long unsigned int]’: load.cpp:545:19: required from ‘void FARRSubsetter::operator()(std::size_t, std::size_t) [with T = int; B = int; std::size_t = long unsigned int]’ 545 | this->operator_fread(begin, end); | ~~~~~~^~~~~~~~~~~~~~ load.cpp:540:10: required from here 540 | void operator()(std::size_t begin, std::size_t end) { | ^~~~~~~~ load.cpp:443:37: warning: comparison of integer expressions of different signedness: ‘R_xlen_t’ {aka ‘long int’} and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for(R_xlen_t ii = begin; ii < end; ii++){ | ~~~^~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c map.cpp -o map.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c mapreduce.cpp -o mapreduce.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c save.cpp -o save.o save.cpp: In instantiation of ‘void FARRAssigner::operator()(std::size_t, std::size_t) [with T = unsigned char; std::size_t = long unsigned int]’: save.cpp:358:10: required from here 358 | void operator()(std::size_t begin, std::size_t end) { | ^~~~~~~~ save.cpp:364:41: warning: comparison of integer expressions of different signedness: ‘R_xlen_t’ {aka ‘long int’} and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 364 | for(R_xlen_t iter = begin; iter < end; iter++){ | ~~~~~^~~~~ save.cpp: In instantiation of ‘void FARRAssigner::operator()(std::size_t, std::size_t) [with T = float; std::size_t = long unsigned int]’: save.cpp:358:10: required from here 358 | void operator()(std::size_t begin, std::size_t end) { | ^~~~~~~~ save.cpp:364:41: warning: comparison of integer expressions of different signedness: ‘R_xlen_t’ {aka ‘long int’} and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 364 | for(R_xlen_t iter = begin; iter < end; iter++){ | ~~~~~^~~~~ save.cpp: In instantiation of ‘void FARRAssigner::operator()(std::size_t, std::size_t) [with T = double; std::size_t = long unsigned int]’: save.cpp:358:10: required from here 358 | void operator()(std::size_t begin, std::size_t end) { | ^~~~~~~~ save.cpp:364:41: warning: comparison of integer expressions of different signedness: ‘R_xlen_t’ {aka ‘long int’} and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 364 | for(R_xlen_t iter = begin; iter < end; iter++){ | ~~~~~^~~~~ save.cpp: In instantiation of ‘void FARRAssigner::operator()(std::size_t, std::size_t) [with T = int; std::size_t = long unsigned int]’: save.cpp:358:10: required from here 358 | void operator()(std::size_t begin, std::size_t end) { | ^~~~~~~~ save.cpp:364:41: warning: comparison of integer expressions of different signedness: ‘R_xlen_t’ {aka ‘long int’} and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 364 | for(R_xlen_t iter = begin; iter < end; iter++){ | ~~~~~^~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c serialize.cpp -o serialize.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c threadSettings.cpp -o threadSettings.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c utils.cpp -o utils.o utils.cpp: In function ‘void set_buffer(SEXP, int, size_t, int)’: utils.cpp:42:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 42 | if( buf_bytes > buffer_bytes ){ | ~~~~~~~~~~^~~~~~~~~~~~~~ g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o filearray.so RcppExports.o collapse.o conversion.o core.o interfaces.o load.o map.o mapreduce.o save.o serialize.o threadSettings.o utils.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpz4d9Q0/R.INSTALL364f4f332ae81c/filearray/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-filearray/00new/filearray/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (filearray) begin installing package ‘minioclient’ * installing *source* package ‘qwraps2’ ... ** package ‘qwraps2’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpwtyWo2/R.INSTALL366e324a6cc05f/qwraps2/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c logit.cpp -o logit.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c traprule.cpp -o traprule.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o qwraps2.so RcppExports.o logit.o traprule.o -llapack -L/home/hornik/tmp/R-d-gcc-14/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpwtyWo2/R.INSTALL366e324a6cc05f/qwraps2/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-qwraps2/00new/qwraps2/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (qwraps2) begin installing package ‘geouy’ * installing *source* package ‘DRR’ ... ** package ‘DRR’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (DRR) begin installing package ‘censobr’ * installing *source* package ‘fabR’ ... ** package ‘fabR’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fabR) begin installing package ‘simts’ * installing *source* package ‘minioclient’ ... ** package ‘minioclient’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (minioclient) begin installing package ‘instantiate’ * installing *source* package ‘censable’ ... ** package ‘censable’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (censable) begin installing package ‘freesurferformats’ * installing *source* package ‘instantiate’ ... ** package ‘instantiate’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpu9yynZ/R.INSTALL367acd42c53d4e/instantiate/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DCMDSTAN='""' -DCMDSTAN_INSTALL='""' -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c cmdstan.c -o cmdstan.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o instantiate.so cmdstan.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpu9yynZ/R.INSTALL367acd42c53d4e/instantiate/src' installing via 'install.libs.R' to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-instantiate/00new/instantiate Implicit installation: {instantiate} will use cmdstanr::cmdstan_path() to find CmdStan when the CMDSTAN_INSTALL environment variable is unset. ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (instantiate) begin installing package ‘bib2df’ * installing *source* package ‘censobr’ ... ** package ‘censobr’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (censobr) begin installing package ‘torchvision’ * installing *source* package ‘stm’ ... ** package ‘stm’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-3) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpMKdIj5/R.INSTALL366cdf4d88ab88/stm/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c STMCfuns.cpp -o STMCfuns.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o stm.so RcppExports.o STMCfuns.o init.o -llapack -L/home/hornik/tmp/R-d-gcc-14/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpMKdIj5/R.INSTALL366cdf4d88ab88/stm/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-stm/00new/stm/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (stm) begin installing package ‘tfevents’ * installing *source* package ‘colourvalues’ ... ** package ‘colourvalues’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ using C++17 make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpJiYScl/R.INSTALL365e55603c2bad/colourvalues/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include -DBOOST_NO_AUTO_PTR -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c ColourValues.cpp -o ColourValues.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include -DBOOST_NO_AUTO_PTR -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c ConvertColours.cpp -o ConvertColours.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include -DBOOST_NO_AUTO_PTR -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include -DBOOST_NO_AUTO_PTR -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c alpha.cpp -o alpha.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include -DBOOST_NO_AUTO_PTR -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c format.cpp -o format.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include -DBOOST_NO_AUTO_PTR -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c list.cpp -o list.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include -DBOOST_NO_AUTO_PTR -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c palette_utils.cpp -o palette_utils.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include -DBOOST_NO_AUTO_PTR -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c palettes.cpp -o palettes.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include -DBOOST_NO_AUTO_PTR -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c scale.cpp -o scale.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o colourvalues.so ColourValues.o ConvertColours.o RcppExports.o alpha.o format.o list.o palette_utils.o palettes.o scale.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpJiYScl/R.INSTALL365e55603c2bad/colourvalues/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-colourvalues/00new/colourvalues/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (colourvalues) begin installing package ‘etl’ * installing *source* package ‘thor’ ... ** package ‘thor’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpd8sMkk/R.INSTALL3679474286be4b/thor/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Ilmdb -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c lmdb/mdb.c -o lmdb/mdb.o lmdb/mdb.c: In function ‘mdb_page_dirty’: lmdb/mdb.c:2383:13: warning: variable ‘rc’ set but not used [-Wunused-but-set-variable] 2383 | int rc, (*insert)(MDB_ID2L, MDB_ID2 *); | ^~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Ilmdb -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c lmdb/midl.c -o lmdb/midl.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Ilmdb -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c registration.c -o registration.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Ilmdb -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c thor.c -o thor.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Ilmdb -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c util.c -o util.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o thor.so lmdb/mdb.o lmdb/midl.o registration.o thor.o util.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpd8sMkk/R.INSTALL3679474286be4b/thor/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-thor/00new/thor/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (thor) begin installing package ‘mergen’ * installing *source* package ‘EML’ ... ** package ‘EML’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (EML) begin installing package ‘piggyback’ * installing *source* package ‘pins’ ... ** package ‘pins’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pins) begin installing package ‘fakemake’ * installing *source* package ‘paws.management’ ... ** package ‘paws.management’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (paws.management) begin installing package ‘blastula’ * installing *source* package ‘bib2df’ ... ** package ‘bib2df’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (bib2df) begin installing package ‘RcppCWB’ * installing *source* package ‘piggyback’ ... ** package ‘piggyback’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (piggyback) begin installing package ‘tibblify’ * installing *source* package ‘mergen’ ... ** package ‘mergen’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mergen) begin installing package ‘box.linters’ * installing *source* package ‘fakemake’ ... ** package ‘fakemake’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fakemake) begin installing package ‘box.lsp’ * installing *source* package ‘etl’ ... ** package ‘etl’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (etl) begin installing package ‘quickPlot’ * installing *source* package ‘box.lsp’ ... ** package ‘box.lsp’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (box.lsp) begin installing package ‘reproducible’ * installing *source* package ‘blastula’ ... ** package ‘blastula’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (blastula) begin installing package ‘jinjar’ * installing *source* package ‘rlme’ ... ** package ‘rlme’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpMnIQ8Y/R.INSTALL366f7c51acbe36/rlme/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c bmat.cpp -o bmat.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c pairup.cpp -o pairup.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c remove_k_smallest.cpp -o remove_k_smallest.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rhosch.cpp -o rhosch.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o rlme.so RcppExports.o bmat.o pairup.o remove_k_smallest.o rhosch.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpMnIQ8Y/R.INSTALL366f7c51acbe36/rlme/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-rlme/00new/rlme/libs ** R ** data *** moving datasets to lazyload DB ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rlme) begin installing package ‘targets’ * installing *source* package ‘box.linters’ ... ** package ‘box.linters’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ! The packages {treesitter} and {treesitter.r} are required by namespaced_function_calls(). Please install these packages if you want to use namespaced_function_calls(). They require R version >= 4.3.0. ! The packages {treesitter} and {treesitter.r} are required by namespaced_function_calls(). Please install these packages if you want to use namespaced_function_calls(). They require R version >= 4.3.0. ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (box.linters) begin installing package ‘spork’ * installing *source* package ‘torchvision’ ... ** package ‘torchvision’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (torchvision) begin installing package ‘details’ * installing *source* package ‘freesurferformats’ ... ** package ‘freesurferformats’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (freesurferformats) begin installing package ‘bundle’ * installing *source* package ‘ipaddress’ ... ** package ‘ipaddress’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpXsiwq4/R.INSTALL36466017f97142/ipaddress/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include/ -DASIO_STANDALONE -DASIO_NO_DEPRECATED -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/AsioHeaders/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D_LIBCPP_DISABLE_DEPRECATION_WARNINGS -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include/ -DASIO_STANDALONE -DASIO_NO_DEPRECATED -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/AsioHeaders/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D_LIBCPP_DISABLE_DEPRECATION_WARNINGS -fpic -g -O2 -Wall -pedantic -mtune=native -c address_ranges.cpp -o address_ranges.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include/ -DASIO_STANDALONE -DASIO_NO_DEPRECATED -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/AsioHeaders/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D_LIBCPP_DISABLE_DEPRECATION_WARNINGS -fpic -g -O2 -Wall -pedantic -mtune=native -c ip_address.cpp -o ip_address.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include/ -DASIO_STANDALONE -DASIO_NO_DEPRECATED -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/AsioHeaders/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D_LIBCPP_DISABLE_DEPRECATION_WARNINGS -fpic -g -O2 -Wall -pedantic -mtune=native -c ip_network.cpp -o ip_network.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include/ -DASIO_STANDALONE -DASIO_NO_DEPRECATED -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/AsioHeaders/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D_LIBCPP_DISABLE_DEPRECATION_WARNINGS -fpic -g -O2 -Wall -pedantic -mtune=native -c ip_to_binary.cpp -o ip_to_binary.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include/ -DASIO_STANDALONE -DASIO_NO_DEPRECATED -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/AsioHeaders/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D_LIBCPP_DISABLE_DEPRECATION_WARNINGS -fpic -g -O2 -Wall -pedantic -mtune=native -c ip_to_bytes.cpp -o ip_to_bytes.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include/ -DASIO_STANDALONE -DASIO_NO_DEPRECATED -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/AsioHeaders/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D_LIBCPP_DISABLE_DEPRECATION_WARNINGS -fpic -g -O2 -Wall -pedantic -mtune=native -c ip_to_hex.cpp -o ip_to_hex.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include/ -DASIO_STANDALONE -DASIO_NO_DEPRECATED -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/AsioHeaders/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D_LIBCPP_DISABLE_DEPRECATION_WARNINGS -fpic -g -O2 -Wall -pedantic -mtune=native -c ip_to_hostname.cpp -o ip_to_hostname.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include/ -DASIO_STANDALONE -DASIO_NO_DEPRECATED -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/AsioHeaders/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D_LIBCPP_DISABLE_DEPRECATION_WARNINGS -fpic -g -O2 -Wall -pedantic -mtune=native -c masking.cpp -o masking.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include/ -DASIO_STANDALONE -DASIO_NO_DEPRECATED -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/AsioHeaders/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D_LIBCPP_DISABLE_DEPRECATION_WARNINGS -fpic -g -O2 -Wall -pedantic -mtune=native -c networks.cpp -o networks.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include/ -DASIO_STANDALONE -DASIO_NO_DEPRECATED -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/AsioHeaders/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D_LIBCPP_DISABLE_DEPRECATION_WARNINGS -fpic -g -O2 -Wall -pedantic -mtune=native -c operators.cpp -o operators.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include/ -DASIO_STANDALONE -DASIO_NO_DEPRECATED -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/AsioHeaders/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D_LIBCPP_DISABLE_DEPRECATION_WARNINGS -fpic -g -O2 -Wall -pedantic -mtune=native -c reserved.cpp -o reserved.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include/ -DASIO_STANDALONE -DASIO_NO_DEPRECATED -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/AsioHeaders/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D_LIBCPP_DISABLE_DEPRECATION_WARNINGS -fpic -g -O2 -Wall -pedantic -mtune=native -c reverse_pointer.cpp -o reverse_pointer.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include/ -DASIO_STANDALONE -DASIO_NO_DEPRECATED -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/AsioHeaders/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D_LIBCPP_DISABLE_DEPRECATION_WARNINGS -fpic -g -O2 -Wall -pedantic -mtune=native -c sample.cpp -o sample.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I../inst/include/ -DASIO_STANDALONE -DASIO_NO_DEPRECATED -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/AsioHeaders/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -D_LIBCPP_DISABLE_DEPRECATION_WARNINGS -fpic -g -O2 -Wall -pedantic -mtune=native -c sequence.cpp -o sequence.o sequence.cpp: In function ‘Rcpp::List wrap_subnets(Rcpp::List, Rcpp::IntegerVector)’: sequence.cpp:108:25: warning: comparison of integer expressions of different signedness: ‘R_xlen_t’ {aka ‘long int’} and ‘std::size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 108 | if (new_prefix.size() != vsize) { | ~~~~~~~~~~~~~~~~~~^~~~~~~~ g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o ipaddress.so RcppExports.o address_ranges.o ip_address.o ip_network.o ip_to_binary.o ip_to_bytes.o ip_to_hex.o ip_to_hostname.o masking.o networks.o operators.o reserved.o reverse_pointer.o sample.o sequence.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpXsiwq4/R.INSTALL36466017f97142/ipaddress/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-ipaddress/00new/ipaddress/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ipaddress) begin installing package ‘luz’ * installing *source* package ‘bundle’ ... ** package ‘bundle’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (bundle) begin installing package ‘phyloregion’ * installing *source* package ‘details’ ... ** package ‘details’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (details) begin installing package ‘tidyxl’ * installing *source* package ‘quickPlot’ ... ** package ‘quickPlot’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (quickPlot) begin installing package ‘objectProperties’ * installing *source* package ‘spork’ ... ** package ‘spork’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (spork) begin installing package ‘dlr’ * installing *source* package ‘tibblify’ ... ** package ‘tibblify’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-3) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpxGcwzA/R.INSTALL36811f79995009/tibblify/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I./rlang -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/vctrs/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -DHAVE_VISIBILITY_ATTRIBUTE -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c add-value.c -o add-value.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I./rlang -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/vctrs/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -DHAVE_VISIBILITY_ATTRIBUTE -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c collector.c -o collector.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I./rlang -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/vctrs/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -DHAVE_VISIBILITY_ATTRIBUTE -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c finalize.c -o finalize.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I./rlang -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/vctrs/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -DHAVE_VISIBILITY_ATTRIBUTE -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c globals.c -o globals.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I./rlang -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/vctrs/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -DHAVE_VISIBILITY_ATTRIBUTE -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c guess-utils.c -o guess-utils.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I./rlang -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/vctrs/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -DHAVE_VISIBILITY_ATTRIBUTE -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I./rlang -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/vctrs/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -DHAVE_VISIBILITY_ATTRIBUTE -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c parse-spec.c -o parse-spec.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I./rlang -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/vctrs/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rlang-rcc.cpp -o rlang-rcc.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I./rlang -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/vctrs/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -DHAVE_VISIBILITY_ATTRIBUTE -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rlang.c -o rlang.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I./rlang -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/vctrs/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -DHAVE_VISIBILITY_ATTRIBUTE -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c tibblify-vctrs-private.c -o tibblify-vctrs-private.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I./rlang -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/vctrs/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -DHAVE_VISIBILITY_ATTRIBUTE -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c tibblify-vctrs-public.c -o tibblify-vctrs-public.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I./rlang -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/vctrs/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -DHAVE_VISIBILITY_ATTRIBUTE -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c tibblify2.c -o tibblify2.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I./rlang -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/vctrs/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -DHAVE_VISIBILITY_ATTRIBUTE -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utils.c -o utils.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I./rlang -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/vctrs/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -DHAVE_VISIBILITY_ATTRIBUTE -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vctrs-type-info.c -o vctrs-type-info.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I./rlang -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/vctrs/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -DHAVE_VISIBILITY_ATTRIBUTE -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vctrs-unspecified.c -o vctrs-unspecified.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I./rlang -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/vctrs/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -DHAVE_VISIBILITY_ATTRIBUTE -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vctrs-utils-dispatch.c -o vctrs-utils-dispatch.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I./rlang -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/vctrs/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -DHAVE_VISIBILITY_ATTRIBUTE -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vctrs-utils.c -o vctrs-utils.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o tibblify.so add-value.o collector.o finalize.o globals.o guess-utils.o init.o parse-spec.o rlang-rcc.o rlang.o tibblify-vctrs-private.o tibblify-vctrs-public.o tibblify2.o utils.o vctrs-type-info.o vctrs-unspecified.o vctrs-utils-dispatch.o vctrs-utils.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpxGcwzA/R.INSTALL36811f79995009/tibblify/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-tibblify/00new/tibblify/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tibblify) begin installing package ‘keyATM’ * installing *source* package ‘dlr’ ... ** package ‘dlr’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (dlr) begin installing package ‘castor’ * installing *source* package ‘objectProperties’ ... ** package ‘objectProperties’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (objectProperties) begin installing package ‘asciicast’ * installing *source* package ‘reproducible’ ... ** package ‘reproducible’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (reproducible) begin installing package ‘redcapAPI’ * installing *source* package ‘bio3d’ ... ** package ‘bio3d’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-3) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ using C++11 make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmphm7osW/R.INSTALL366d1a3d7c52ed/bio3d/src' g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gzstream.cpp -o gzstream.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c read_cif.cpp -o read_cif.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c read_crd.cpp -o read_crd.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c read_pdb.cpp -o read_pdb.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c read_prmtop.cpp -o read_prmtop.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I. -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c utils.cpp -o utils.o g++-14 -std=gnu++11 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o bio3d.so RcppExports.o gzstream.o init.o read_cif.o read_crd.o read_pdb.o read_prmtop.o utils.o -lz -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmphm7osW/R.INSTALL366d1a3d7c52ed/bio3d/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-bio3d/00new/bio3d/libs ** R ** data *** moving datasets to lazyload DB ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (bio3d) begin installing package ‘lqmm’ * installing *source* package ‘quanteda.textmodels’ ... ** package ‘quanteda.textmodels’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpazzqEt/R.INSTALL366d125b68f533/quanteda.textmodels/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/quanteda/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/quanteda/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c ca.cpp -o ca.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/quanteda/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c ssl.cpp -o ssl.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/quanteda/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c svmlin.cpp -o svmlin.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/quanteda/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c wordfish.cpp -o wordfish.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o quanteda.textmodels.so RcppExports.o ca.o ssl.o svmlin.o wordfish.o -llapack -L/home/hornik/tmp/R-d-gcc-14/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpazzqEt/R.INSTALL366d125b68f533/quanteda.textmodels/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-quanteda.textmodels/00new/quanteda.textmodels/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (quanteda.textmodels) begin installing package ‘robustvarComp’ * installing *source* package ‘luz’ ... ** package ‘luz’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (luz) begin installing package ‘tfestimators’ * installing *source* package ‘asciicast’ ... ** package ‘asciicast’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpZRStGd/R.INSTALL3686b215bee745/asciicast/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/processx/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c r.c -o r.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/processx/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c common.c -o common.o gcc-14 -Wl,--export-dynamic -fopenmp -Wl,-O1 -o rem r.o common.o -L"/home/hornik/tmp/R-d-gcc-14/lib" -lR -lpcre2-8 -ldeflate -llzma -lbz2 -lz -ltirpc -lrt -ldl -lm -licuuc -licui18n gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/processx/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c client.c -o client.o gcc-14 -shared -L"/home/hornik/tmp/R-d-gcc-14/lib" -Wl,-O1 -o asciicastclient.so \ client.o common.o \ -L"/home/hornik/tmp/R-d-gcc-14/lib" -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpZRStGd/R.INSTALL3686b215bee745/asciicast/src' installing via 'install.libs.R' to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-asciicast/00new/asciicast ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (asciicast) begin installing package ‘madshapR’ * installing *source* package ‘TreeTools’ ... ** package ‘TreeTools’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ using C++17 make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpa7EHzw/R.INSTALL3660bd1664e799/TreeTools/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c ClusterTable.cpp -o ClusterTable.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports-manual.cpp -o RcppExports-manual.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c ape_reorder.cpp -o ape_reorder.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c as_newick.cpp -o as_newick.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c consensus.cpp -o consensus.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c descendant_edges.cpp -o descendant_edges.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c int_to_tree.cpp -o int_to_tree.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c kept_vertices.cpp -o kept_vertices.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c minimum_spanning_tree.cpp -o minimum_spanning_tree.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c path_lengths.cpp -o path_lengths.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c splits.cpp -o splits.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c splits_to_tree.cpp -o splits_to_tree.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c tips_in_splits.cpp -o tips_in_splits.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c tree_shape.cpp -o tree_shape.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o TreeTools.so ClusterTable.o RcppExports-manual.o RcppExports.o ape_reorder.o as_newick.o consensus.o descendant_edges.o int_to_tree.o kept_vertices.o minimum_spanning_tree.o path_lengths.o splits.o splits_to_tree.o tips_in_splits.o tree_shape.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpa7EHzw/R.INSTALL3660bd1664e799/TreeTools/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-TreeTools/00new/TreeTools/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading Creating a generic function for ‘match’ from package ‘base’ in package ‘TreeTools’ Creating a generic function for ‘%in%’ from package ‘base’ in package ‘TreeTools’ ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (TreeTools) begin installing package ‘taxadb’ * installing *source* package ‘paws.compute’ ... ** package ‘paws.compute’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (paws.compute) begin installing package ‘readtext’ * installing *source* package ‘geouy’ ... ** package ‘geouy’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (geouy) begin installing package ‘rpymat’ * installing *source* package ‘parzer’ ... ** package ‘parzer’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ using C++11 make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpxs3I3S/R.INSTALL36779d20b32955/parzer/src' rm -Rf parzer.so RcppExports.o latlong.o parse.o pz_hemisphere.o pz_parse_parts.o pz_split_llstr.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c latlong.cpp -o latlong.o latlong.cpp: In function ‘float convert_lat(std::string)’: latlong.cpp:225:11: warning: ‘ret’ may be used uninitialized [-Wmaybe-uninitialized] 225 | ret = ret * dir_val; | ^~~ latlong.cpp:182:9: note: ‘ret’ was declared here 182 | float ret; | ^~~ latlong.cpp: In function ‘float convert_lon(std::string)’: latlong.cpp:285:11: warning: ‘ret’ may be used uninitialized [-Wmaybe-uninitialized] 285 | ret = ret * dir_val; | ^~~ latlong.cpp:242:9: note: ‘ret’ was declared here 242 | float ret; | ^~~ g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c parse.cpp -o parse.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c pz_hemisphere.cpp -o pz_hemisphere.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c pz_parse_parts.cpp -o pz_parse_parts.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c pz_split_llstr.cpp -o pz_split_llstr.o g++-14 -std=gnu++11 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o parzer.so RcppExports.o latlong.o parse.o pz_hemisphere.o pz_parse_parts.o pz_split_llstr.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpxs3I3S/R.INSTALL36779d20b32955/parzer/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-parzer/00new/parzer/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (parzer) begin installing package ‘SpaDES.tools’ * installing *source* package ‘Hmisc’ ... ** package ‘Hmisc’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-3) 14.2.0’ using Fortran compiler: ‘GNU Fortran (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpFf5i8i/R.INSTALL36713614ce8755/Hmisc/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c Hmisc.c -o Hmisc.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c cidxcn.f90 -o cidxcn.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c cidxcp.f90 -o cidxcp.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c hlqest.f90 -o hlqest.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c hoeffd.f90 -o hoeffd.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c jacklins.f90 -o jacklins.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c largrec.f -o largrec.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c mChoice.c -o mChoice.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c maxempr.f90 -o maxempr.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c nstr.c -o nstr.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ranksort.c -o ranksort.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c rcorr.f90 -o rcorr.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c string_box.c -o string_box.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c wclosest.f90 -o wclosest.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o Hmisc.so Hmisc.o cidxcn.o cidxcp.o hlqest.o hoeffd.o init.o jacklins.o largrec.o mChoice.o maxempr.o nstr.o ranksort.o rcorr.o string_box.o wclosest.o -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpFf5i8i/R.INSTALL36713614ce8755/Hmisc/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-Hmisc/00new/Hmisc/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Hmisc) begin installing package ‘yamlet’ * installing *source* package ‘lqmm’ ... ** package ‘lqmm’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp5up2gM/R.INSTALL3688db3aa505ef/lqmm/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c lqmm.c -o lqmm.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o lqmm.so init.o lqmm.o -llapack -L/home/hornik/tmp/R-d-gcc-14/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp5up2gM/R.INSTALL3688db3aa505ef/lqmm/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-lqmm/00new/lqmm/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (lqmm) begin installing package ‘Quartet’ * installing *source* package ‘paws.security.identity’ ... ** package ‘paws.security.identity’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (paws.security.identity) begin installing package ‘dimRed’ * installing *source* package ‘taxadb’ ... ** package ‘taxadb’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (taxadb) begin installing package ‘daymetr’ * installing *source* package ‘readtext’ ... ** package ‘readtext’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (readtext) begin installing package ‘googleLanguageR’ * installing *source* package ‘rpymat’ ... ** package ‘rpymat’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rpymat) begin installing package ‘conrad’ * installing *source* package ‘daymetr’ ... ** package ‘daymetr’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (daymetr) begin installing package ‘incidence’ * installing *source* package ‘conrad’ ... ** package ‘conrad’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (conrad) begin installing package ‘semantic.assets’ * installing *source* package ‘redcapAPI’ ... ** package ‘redcapAPI’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (redcapAPI) begin installing package ‘rmdfiltr’ * installing *source* package ‘tfestimators’ ... ** package ‘tfestimators’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tfestimators) begin installing package ‘future.batchtools’ * installing *source* package ‘robustvarComp’ ... ** package ‘robustvarComp’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-3) 14.2.0’ using Fortran compiler: ‘GNU Fortran (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpjcVoue/R.INSTALL3689677231d5ec/robustvarComp/src' gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c Ainv.f -o Ainv.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c Sdet.f -o Sdet.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c det2.f -o det2.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c dmahal.f -o dmahal.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c dmahalN.f -o dmahalN.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c doSstep.f -o doSstep.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c doSsteppw.f -o doSsteppw.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c doSsteprocke.f -o doSsteprocke.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c doTausteppw.f -o doTausteppw.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c doTausteppwDet.f -o doTausteppwDet.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c optimChi.f -o optimChi.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c rSr.f -o rSr.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c rSstarr.f -o rSstarr.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c rVr.f -o rVr.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c rhostarpw.f -o rhostarpw.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c rockeChi.f -o rockeChi.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c tukeyChi.f -o tukeyChi.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c wrapper.c -o wrapper.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c xSstarx.f -o xSstarx.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c xSstary.f -o xSstary.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o robustvarComp.so Ainv.o Sdet.o det2.o dmahal.o dmahalN.o doSstep.o doSsteppw.o doSsteprocke.o doTausteppw.o doTausteppwDet.o init.o optimChi.o rSr.o rSstarr.o rVr.o rhostarpw.o rockeChi.o tukeyChi.o wrapper.o xSstarx.o xSstary.o -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpjcVoue/R.INSTALL3689677231d5ec/robustvarComp/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-robustvarComp/00new/robustvarComp/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (robustvarComp) begin installing package ‘googleCloudStorageR’ * installing *source* package ‘rmdfiltr’ ... ** package ‘rmdfiltr’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rmdfiltr) begin installing package ‘gmailr’ * installing *source* package ‘googleLanguageR’ ... ** package ‘googleLanguageR’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (googleLanguageR) begin installing package ‘bsplus’ * installing *source* package ‘muscle’ ... ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpF7SGtp/R.INSTALL366dbf3457677e/muscle/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c aligngivenpath.cpp -o aligngivenpath.o aligngivenpath.cpp: In function ‘void AppendTplInserts(const MSA&, unsigned int&, unsigned int, const MSA&, unsigned int&, unsigned int, unsigned int, unsigned int, MSA&, unsigned int&)’: aligngivenpath.cpp:186:24: warning: unused variable ‘uLengthA’ [-Wunused-variable] 186 | const unsigned uLengthA = msaA.GetColCount(); | ^~~~~~~~ aligngivenpath.cpp:187:24: warning: unused variable ‘uLengthB’ [-Wunused-variable] 187 | const unsigned uLengthB = msaB.GetColCount(); | ^~~~~~~~ aligngivenpath.cpp: In function ‘void AlignTwoMSAsGivenPath(const PWPath&, const MSA&, const MSA&, MSA&)’: aligngivenpath.cpp:335:40: warning: unused variable ‘uColA’ [-Wunused-variable] 335 | const unsigned uColA = uPrefixLengthA - 1; | ^~~~~ aligngivenpath.cpp:336:40: warning: unused variable ‘uColB’ [-Wunused-variable] 336 | const unsigned uColB = uPrefixLengthB - 1; | ^~~~~ aligngivenpath.cpp:346:40: warning: unused variable ‘uColA’ [-Wunused-variable] 346 | const unsigned uColA = uPrefixLengthA - 1; | ^~~~~ aligngivenpath.cpp:354:40: warning: unused variable ‘uColB’ [-Wunused-variable] 354 | const unsigned uColB = uPrefixLengthB - 1; | ^~~~~ In file included from muscle.h:34, from aligngivenpath.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c aligngivenpathsw.cpp -o aligngivenpathsw.o aligngivenpathsw.cpp: In function ‘void AppendUnalignedTerminals(const MSA&, unsigned int&, unsigned int, const MSA&, unsigned int&, unsigned int, unsigned int, unsigned int, MSA&, unsigned int&)’: aligngivenpathsw.cpp:58:24: warning: unused variable ‘uLengthA’ [-Wunused-variable] 58 | const unsigned uLengthA = msaA.GetColCount(); | ^~~~~~~~ aligngivenpathsw.cpp:59:24: warning: unused variable ‘uLengthB’ [-Wunused-variable] 59 | const unsigned uLengthB = msaB.GetColCount(); | ^~~~~~~~ aligngivenpathsw.cpp: In function ‘void AlignTwoMSAsGivenPathSW(const PWPath&, const MSA&, const MSA&, MSA&)’: aligngivenpathsw.cpp:204:40: warning: unused variable ‘uColA’ [-Wunused-variable] 204 | const unsigned uColA = uPrefixLengthA - 1; | ^~~~~ aligngivenpathsw.cpp:205:40: warning: unused variable ‘uColB’ [-Wunused-variable] 205 | const unsigned uColB = uPrefixLengthB - 1; | ^~~~~ aligngivenpathsw.cpp:215:40: warning: unused variable ‘uColA’ [-Wunused-variable] 215 | const unsigned uColA = uPrefixLengthA - 1; | ^~~~~ aligngivenpathsw.cpp:223:40: warning: unused variable ‘uColB’ [-Wunused-variable] 223 | const unsigned uColB = uPrefixLengthB - 1; | ^~~~~ In file included from muscle.h:34, from aligngivenpathsw.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c aligntwomsas.cpp -o aligntwomsas.o In file included from muscle.h:34, from aligntwomsas.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c aligntwoprofs.cpp -o aligntwoprofs.o In file included from muscle.h:34, from aligntwoprofs.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c aln.cpp -o aln.o In file included from muscle.h:34, from aln.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c alpha.cpp -o alpha.o alpha.cpp: In function ‘unsigned int GetAlphaSize(ALPHA)’: alpha.cpp:84:16: warning: enumeration value ‘ALPHA_Undefined’ not handled in switch [-Wswitch] 84 | switch (Alpha) | ^ In file included from muscle.h:34, from alpha.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c anchors.cpp -o anchors.o anchors.cpp: In function ‘void MergeBestCols(const SCORE*, const unsigned int*, unsigned int, unsigned int, unsigned int*, unsigned int*)’: anchors.cpp:162:34: warning: unused variable ‘uWindowCenter’ [-Wunused-variable] 162 | unsigned uWindowCenter = uBestColIndex + uWindowLength/2; | ^~~~~~~~~~~~~ anchors.cpp: At global scope: anchors.cpp:105:13: warning: ‘void ListBestCols(const MSA&, const SCORE*, const SCORE*, unsigned int*, unsigned int)’ defined but not used [-Wunused-function] 105 | static void ListBestCols(const MSA &msa, const SCORE Score[], const SCORE SmoothScore[], | ^~~~~~~~~~~~ anchors.cpp:53:13: warning: ‘void FindBestColsGrade(const SCORE*, unsigned int, double, unsigned int*, unsigned int*)’ defined but not used [-Wunused-function] 53 | static void FindBestColsGrade(const SCORE Score[], unsigned uCount, | ^~~~~~~~~~~~~~~~~ In file included from muscle.h:34, from anchors.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c bittraceback.cpp -o bittraceback.o bittraceback.cpp: In function ‘void BitTraceBack(char**, unsigned int, unsigned int, char, PWPath&)’: bittraceback.cpp:146:14: warning: unused variable ‘Bits’ [-Wunused-variable] 146 | char Bits = TraceBack[uLengthA][uLengthB]; | ^~~~ bittraceback.cpp: At global scope: bittraceback.cpp:15:20: warning: ‘const char* BitsToStr(char)’ defined but not used [-Wunused-function] 15 | static const char *BitsToStr(char Bits) | ^~~~~~~~~ In file included from muscle.h:34, from bittraceback.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c blosum62.cpp -o blosum62.o In file included from muscle.h:34, from blosum62.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c blosumla.cpp -o blosumla.o blosumla.cpp:7:14: warning: ‘Blosum62LA’ defined but not used [-Wunused-variable] 7 | static float Blosum62LA[20][20] = | ^~~~~~~~~~ In file included from muscle.h:34, from blosumla.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c clust.cpp -o clust.o clust.cpp: In member function ‘void Clust::ChooseJoin(unsigned int*, unsigned int*, float*, float*)’: clust.cpp:167:16: warning: enumeration value ‘JOIN_Undefined’ not handled in switch [-Wswitch] 167 | switch (m_JoinStyle) | ^ clust.cpp: In member function ‘void Clust::ChooseJoinNearestNeighbor(unsigned int*, unsigned int*, float*, float*)’: clust.cpp:184:24: warning: unused variable ‘uClusterCount’ [-Wunused-variable] 184 | const unsigned uClusterCount = GetClusterCount(); | ^~~~~~~~~~~~~ clust.cpp: In member function ‘void Clust::ChooseJoinNeighborJoining(unsigned int*, unsigned int*, float*, float*)’: clust.cpp:204:24: warning: unused variable ‘uClusterCount’ [-Wunused-variable] 204 | const unsigned uClusterCount = GetClusterCount(); | ^~~~~~~~~~~~~ clust.cpp: In member function ‘float Clust::ComputeDist(unsigned int, unsigned int)’: clust.cpp:295:16: warning: enumeration value ‘LINKAGE_Undefined’ not handled in switch [-Wswitch] 295 | switch (m_CentroidStyle) | ^ clust.cpp: In member function ‘float Clust::ComputeDistMAFFT(unsigned int, unsigned int)’: clust.cpp:360:21: warning: unused variable ‘dDistLR’ [-Wunused-variable] 360 | const float dDistLR = GetDist(uLeftNodeIndex, uRightNodeIndex); | ^~~~~~~ clust.cpp: In member function ‘float Clust::ComputeMetric(unsigned int, unsigned int) const’: clust.cpp:611:16: warning: enumeration value ‘JOIN_Undefined’ not handled in switch [-Wswitch] 611 | switch (m_JoinStyle) | ^ In file included from muscle.h:34, from clust.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c cluster.cpp -o cluster.o cluster.cpp: In member function ‘void ClusterTree::Create(const DistFunc&)’: cluster.cpp:284:22: warning: variable ‘bFound’ set but not used [-Wunused-but-set-variable] 284 | bool bFound = false; | ^~~~~~ cluster.cpp:267:16: warning: unused variable ‘dMaxDist’ [-Wunused-variable] 267 | double dMaxDist = 0.0; | ^~~~~~~~ In file included from muscle.h:34, from cluster.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ cluster.cpp: In member function ‘void ClusterTree::Create(const DistFunc&)’: cluster.cpp:307:47: warning: ‘uIndexClosest1’ may be used uninitialized [-Wmaybe-uninitialized] 307 | ClusterNode &Child1 = m_Nodes[uIndexClosest1]; | ^~~~~~~~~~~~~~ cluster.cpp:282:26: note: ‘uIndexClosest1’ was declared here 282 | unsigned uIndexClosest1; | ^~~~~~~~~~~~~~ cluster.cpp:308:47: warning: ‘uIndexClosest2’ may be used uninitialized [-Wmaybe-uninitialized] 308 | ClusterNode &Child2 = m_Nodes[uIndexClosest2]; | ^~~~~~~~~~~~~~ cluster.cpp:283:26: note: ‘uIndexClosest2’ was declared here 283 | unsigned uIndexClosest2; | ^~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c clwwt.cpp -o clwwt.o In file included from muscle.h:34, from clwwt.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c color.cpp -o color.o color.cpp:72:12: warning: ‘int BlosumScore(char, char)’ defined but not used [-Wunused-function] 72 | static int BlosumScore(char c1, char c2) | ^~~~~~~~~~~ In file included from muscle.h:34, from color.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c cons.cpp -o cons.o In file included from muscle.h:34, from cons.cpp:7: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c diaglist.cpp -o diaglist.o In file included from muscle.h:34, from diaglist.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ diaglist.cpp: In member function ‘void DiagList::FromPath(const PWPath&)’: diaglist.cpp:70:36: warning: ‘uStartPosA’ may be used uninitialized [-Wmaybe-uninitialized] 70 | Add(uStartPosA, uStartPosB, uLength); | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ diaglist.cpp:51:18: note: ‘uStartPosA’ was declared here 51 | unsigned uStartPosA; | ^~~~~~~~~~ diaglist.cpp:70:36: warning: ‘uStartPosB’ may be used uninitialized [-Wmaybe-uninitialized] 70 | Add(uStartPosA, uStartPosB, uLength); | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ diaglist.cpp:52:18: note: ‘uStartPosB’ was declared here 52 | unsigned uStartPosB; | ^~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c diffobjscore.cpp -o diffobjscore.o diffobjscore.cpp: In function ‘SCORE ScoreLetters(const MSA&, const unsigned int*, unsigned int)’: diffobjscore.cpp:76:24: warning: unused variable ‘uSeqCount’ [-Wunused-variable] 76 | const unsigned uSeqCount = msa.GetSeqCount(); | ^~~~~~~~~ diffobjscore.cpp:77:24: warning: unused variable ‘uColCount’ [-Wunused-variable] 77 | const unsigned uColCount = msa.GetColCount(); | ^~~~~~~~~ In file included from muscle.h:34, from diffobjscore.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c diffpaths.cpp -o diffpaths.o In file included from muscle.h:34, from diffpaths.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c difftrees.cpp -o difftrees.o difftrees.cpp: In function ‘void DiffTrees(const Tree&, const Tree&, Tree&, unsigned int*)’: difftrees.cpp:161:24: warning: unused variable ‘uLeafCount2’ [-Wunused-variable] 161 | const unsigned uLeafCount2 = Tree2.GetLeafCount(); | ^~~~~~~~~~~ In file included from muscle.h:34, from difftrees.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c difftreese.cpp -o difftreese.o In file included from muscle.h:34, from difftreese.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c distcalc.cpp -o distcalc.o In file included from muscle.h:34, from distcalc.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c distfunc.cpp -o distfunc.o In file included from muscle.h:34, from distfunc.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c distpwkimura.cpp -o distpwkimura.o In file included from muscle.h:34, from distpwkimura.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c domuscle.cpp -o domuscle.o In file included from muscle.h:34, from domuscle.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c dosp.cpp -o dosp.o In file included from muscle.h:34, from dosp.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c dpreglist.cpp -o dpreglist.o dpreglist.cpp: In function ‘void DiagListToDPRegionList(const DiagList&, DPRegionList&, unsigned int, unsigned int)’: dpreglist.cpp:82:40: warning: unused variable ‘uDiagLengthMinusCaps’ [-Wunused-variable] 82 | const unsigned uDiagLengthMinusCaps = uEndVertexA - uStartVertexA - 1; | ^~~~~~~~~~~~~~~~~~~~ In file included from muscle.h:34, from dpreglist.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c drawtree.cpp -o drawtree.o In file included from muscle.h:34, from drawtree.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c edgelist.cpp -o edgelist.o In file included from muscle.h:34, from edgelist.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c enumopts.cpp -o enumopts.o In file included from muscle.h:34, from enumopts.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c enumtostr.cpp -o enumtostr.o In file included from muscle.h:34, from enumtostr.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c estring.cpp -o estring.o estring.cpp:464:13: warning: ‘bool CanMultiplyEstrings(const short int*, const short int*)’ defined but not used [-Wunused-function] 464 | static bool CanMultiplyEstrings(const short es1[], const short es2[]) | ^~~~~~~~~~~~~~~~~~~ In file included from muscle.h:34, from estring.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ estring.cpp: In function ‘void EstringsToPath(const short int*, const short int*, PWPath&)’: estring.cpp:409:17: warning: ‘cType’ may be used uninitialized [-Wmaybe-uninitialized] 409 | switch (cType) | ^~~~~~ estring.cpp:377:22: note: ‘cType’ was declared here 377 | char cType; | ^~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fasta.cpp -o fasta.o fasta.cpp: In member function ‘void MSA::FromFASTAFile(TextFile&)’: fasta.cpp:15:18: warning: unused variable ‘uSeqCount’ [-Wunused-variable] 15 | unsigned uSeqCount = 0; | ^~~~~~~~~ fasta.cpp:16:18: warning: unused variable ‘uColCount’ [-Wunused-variable] 16 | unsigned uColCount = uInsane; | ^~~~~~~~~ In file included from muscle.h:34, from fasta.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fasta2.cpp -o fasta2.o In file included from muscle.h:34, from fasta2.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fastclust.cpp -o fastclust.o In file included from muscle.h:34, from fastclust.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fastdist.cpp -o fastdist.o In file included from muscle.h:34, from fastdist.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fastdistjones.cpp -o fastdistjones.o In file included from muscle.h:34, from fastdistjones.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ fastdistjones.cpp: In function ‘void DistKmer20_3(const SeqVect&, DistFunc&)’: fastdistjones.cpp:158:18: warning: ‘void operator delete [](void*)’ called on pointer returned from a mismatched allocation function [-Wmismatched-new-delete] 158 | delete[] SeqList; | ^~~~~~~ fastdistjones.cpp:121:60: note: returned from ‘void* malloc(size_t)’ 121 | unsigned short *SeqList = (unsigned short *) malloc(uSeqListBytes); | ~~~~~~^~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fastdistkbit.cpp -o fastdistkbit.o In file included from muscle.h:34, from fastdistkbit.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fastdistkmer.cpp -o fastdistkmer.o fastdistkmer.cpp: In function ‘void FastDistKmer(const SeqVect&, DistFunc&)’: fastdistkmer.cpp:235:32: warning: unused variable ‘KD’ [-Wunused-variable] 235 | double KD = KimuraDist(EstimatedPctId); | ^~ In file included from muscle.h:34, from fastdistkmer.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fastdistmafft.cpp -o fastdistmafft.o fastdistmafft.cpp: In function ‘void DistKmer6_6(const SeqVect&, DistFunc&)’: fastdistmafft.cpp:238:29: warning: unused variable ‘pName1’ [-Wunused-variable] 238 | const char *pName1 = s1.GetName(); | ^~~~~~ fastdistmafft.cpp: At global scope: fastdistmafft.cpp:104:13: warning: ‘void ListCount(const unsigned char*)’ defined but not used [-Wunused-function] 104 | static void ListCount(const unsigned char Count[]) | ^~~~~~~~~ In file included from muscle.h:34, from fastdistmafft.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fastdistnuc.cpp -o fastdistnuc.o fastdistnuc.cpp: In function ‘void DistKmer4_6(const SeqVect&, DistFunc&)’: fastdistnuc.cpp:223:29: warning: unused variable ‘pName1’ [-Wunused-variable] 223 | const char *pName1 = s1.GetName(); | ^~~~~~ fastdistnuc.cpp: At global scope: fastdistnuc.cpp:85:13: warning: ‘void ListCount(const unsigned char*)’ defined but not used [-Wunused-function] 85 | static void ListCount(const unsigned char Count[]) | ^~~~~~~~~ fastdistnuc.cpp:33:17: warning: ‘uResidueGroupCount’ defined but not used [-Wunused-variable] 33 | static unsigned uResidueGroupCount = sizeof(ResidueGroup)/sizeof(ResidueGroup[0]); | ^~~~~~~~~~~~~~~~~~ In file included from muscle.h:34, from fastdistnuc.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fastscorepath2.cpp -o fastscorepath2.o In file included from muscle.h:34, from fastscorepath2.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c finddiags.cpp -o finddiags.o finddiags.cpp:11:14: warning: ‘char* TupleToStr(int)’ defined but not used [-Wunused-function] 11 | static char *TupleToStr(int t) | ^~~~~~~~~~ In file included from muscle.h:34, from finddiags.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c finddiagsn.cpp -o finddiagsn.o finddiagsn.cpp: In function ‘char* TupleToStr(int)’: finddiagsn.cpp:16:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 16 | for (int i = 0; i < K; ++i) | ~~^~~ finddiagsn.cpp: At global scope: finddiagsn.cpp:12:14: warning: ‘char* TupleToStr(int)’ defined but not used [-Wunused-function] 12 | static char *TupleToStr(int t) | ^~~~~~~~~~ In file included from muscle.h:34, from finddiagsn.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c glbalign.cpp -o glbalign.o In file included from muscle.h:34, from glbalign.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c glbalign352.cpp -o glbalign352.o In file included from muscle.h:34, from glbalign352.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c glbaligndiag.cpp -o glbaligndiag.o In file included from muscle.h:34, from glbaligndiag.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c glbalignla.cpp -o glbalignla.o In file included from muscle.h:34, from glbalignla.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ glbalignla.cpp: In function ‘SCORE GlobalAlignLA(const ProfPos*, unsigned int, const ProfPos*, unsigned int, PWPath&)’: glbalignla.cpp:363:52: warning: ‘uInsertPos’ may be used uninitialized [-Wmaybe-uninitialized] 363 | *ptrTraceBack_ij = (int) uInsertPos - (int) j; | ^~~~~~~~~~~~~~~~ glbalignla.cpp:330:26: note: ‘uInsertPos’ was declared here 330 | unsigned uInsertPos; | ^~~~~~~~~~ glbalignla.cpp:424:30: warning: ‘uInsertPos’ may be used uninitialized [-Wmaybe-uninitialized] 424 | iTraceBack = (int) uInsertPos - (int) uLengthB; | ^~~~~~~~~~~~~~~~ glbalignla.cpp:397:18: note: ‘uInsertPos’ was declared here 397 | unsigned uInsertPos; | ^~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c glbalignle.cpp -o glbalignle.o In file included from muscle.h:34, from glbalignle.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ glbalignle.cpp: In function ‘SCORE GlobalAlignLE(const ProfPos*, unsigned int, const ProfPos*, unsigned int, PWPath&)’: glbalignle.cpp:427:30: warning: ‘uInsertPos’ may be used uninitialized [-Wmaybe-uninitialized] 427 | iTraceBack = (int) uInsertPos - (int) uLengthB; | ^~~~~~~~~~~~~~~~ glbalignle.cpp:400:18: note: ‘uInsertPos’ was declared here 400 | unsigned uInsertPos; | ^~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c glbalignns.cpp -o glbalignns.o In file included from muscle.h:34, from glbalignns.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ glbalignns.cpp: In function ‘SCORE GlobalAlignNS(const ProfPos*, unsigned int, const ProfPos*, unsigned int, PWPath&)’: glbalignns.cpp:305:52: warning: ‘uInsertPos’ may be used uninitialized [-Wmaybe-uninitialized] 305 | *ptrTraceBack_ij = (int) uInsertPos - (int) j; | ^~~~~~~~~~~~~~~~ glbalignns.cpp:272:26: note: ‘uInsertPos’ was declared here 272 | unsigned uInsertPos; | ^~~~~~~~~~ glbalignns.cpp:366:30: warning: ‘uInsertPos’ may be used uninitialized [-Wmaybe-uninitialized] 366 | iTraceBack = (int) uInsertPos - (int) uLengthB; | ^~~~~~~~~~~~~~~~ glbalignns.cpp:339:18: note: ‘uInsertPos’ was declared here 339 | unsigned uInsertPos; | ^~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c glbalignsimple.cpp -o glbalignsimple.o glbalignsimple.cpp:52:13: warning: ‘void ListDP(const SCORE*, const ProfPos*, const ProfPos*, unsigned int, unsigned int)’ defined but not used [-Wunused-function] 52 | static void ListDP(const SCORE *DPM_, const ProfPos *PA, const ProfPos *PB, | ^~~~~~ glbalignsimple.cpp:28:13: warning: ‘void ListTB(const char*, const ProfPos*, const ProfPos*, unsigned int, unsigned int)’ defined but not used [-Wunused-function] 28 | static void ListTB(const char *TBM_, const ProfPos *PA, const ProfPos *PB, | ^~~~~~ In file included from muscle.h:34, from glbalignsimple.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c glbalignsp.cpp -o glbalignsp.o In file included from muscle.h:34, from glbalignsp.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ glbalignsp.cpp: In function ‘SCORE GlobalAlignSP(const ProfPos*, unsigned int, const ProfPos*, unsigned int, PWPath&)’: glbalignsp.cpp:305:52: warning: ‘uInsertPos’ may be used uninitialized [-Wmaybe-uninitialized] 305 | *ptrTraceBack_ij = (int) uInsertPos - (int) j; | ^~~~~~~~~~~~~~~~ glbalignsp.cpp:272:26: note: ‘uInsertPos’ was declared here 272 | unsigned uInsertPos; | ^~~~~~~~~~ glbalignsp.cpp:366:30: warning: ‘uInsertPos’ may be used uninitialized [-Wmaybe-uninitialized] 366 | iTraceBack = (int) uInsertPos - (int) uLengthB; | ^~~~~~~~~~~~~~~~ glbalignsp.cpp:339:18: note: ‘uInsertPos’ was declared here 339 | unsigned uInsertPos; | ^~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c glbalignspn.cpp -o glbalignspn.o In file included from muscle.h:34, from glbalignspn.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ glbalignspn.cpp: In function ‘SCORE GlobalAlignSPN(const ProfPos*, unsigned int, const ProfPos*, unsigned int, PWPath&)’: glbalignspn.cpp:340:52: warning: ‘uInsertPos’ may be used uninitialized [-Wmaybe-uninitialized] 340 | *ptrTraceBack_ij = (int) uInsertPos - (int) j; | ^~~~~~~~~~~~~~~~ glbalignspn.cpp:307:26: note: ‘uInsertPos’ was declared here 307 | unsigned uInsertPos; | ^~~~~~~~~~ glbalignspn.cpp:401:30: warning: ‘uInsertPos’ may be used uninitialized [-Wmaybe-uninitialized] 401 | iTraceBack = (int) uInsertPos - (int) uLengthB; | ^~~~~~~~~~~~~~~~ glbalignspn.cpp:374:18: note: ‘uInsertPos’ was declared here 374 | unsigned uInsertPos; | ^~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c glbalignss.cpp -o glbalignss.o glbalignss.cpp: In function ‘SCORE GlobalAlignSS(const Seq&, const Seq&, PWPath&)’: glbalignss.cpp:177:30: warning: unused variable ‘ptrRowA’ [-Wunused-variable] 177 | const SCORE *ptrRowA = MxRowA[i]; | ^~~~~~~ glbalignss.cpp:119:24: warning: unused variable ‘uPrefixCountA’ [-Wunused-variable] 119 | const unsigned uPrefixCountA = uLengthA + 1; | ^~~~~~~~~~~~~ glbalignss.cpp:120:24: warning: unused variable ‘uPrefixCountB’ [-Wunused-variable] 120 | const unsigned uPrefixCountB = uLengthB + 1; | ^~~~~~~~~~~~~ glbalignss.cpp: At global scope: glbalignss.cpp:11:14: warning: ‘SCORE Subst(const Seq&, const Seq&, unsigned int, unsigned int)’ defined but not used [-Wunused-function] 11 | static SCORE Subst(const Seq &seqA, const Seq &seqB, unsigned i, unsigned j) | ^~~~~ In file included from muscle.h:34, from glbalignss.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ glbalignss.cpp: In function ‘SCORE GlobalAlignSS(const Seq&, const Seq&, PWPath&)’: glbalignss.cpp:252:52: warning: ‘uInsertPos’ may be used uninitialized [-Wmaybe-uninitialized] 252 | *ptrTraceBack_ij = (int) uInsertPos - (int) j; | ^~~~~~~~~~~~~~~~ glbalignss.cpp:221:26: note: ‘uInsertPos’ was declared here 221 | unsigned uInsertPos; | ^~~~~~~~~~ glbalignss.cpp:310:30: warning: ‘uInsertPos’ may be used uninitialized [-Wmaybe-uninitialized] 310 | iTraceBack = (int) uInsertPos - (int) uLengthB; | ^~~~~~~~~~~~~~~~ glbalignss.cpp:283:18: note: ‘uInsertPos’ was declared here 283 | unsigned uInsertPos; | ^~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c glbalndimer.cpp -o glbalndimer.o glbalndimer.cpp: In function ‘SCORE ScoreProfPosDimer(const ProfPos&, const ProfPos&)’: glbalndimer.cpp:123:16: warning: enumeration value ‘PPSCORE_Undefined’ not handled in switch [-Wswitch] 123 | switch (g_PPScore) | ^ glbalndimer.cpp:123:16: warning: enumeration value ‘PPSCORE_SPN’ not handled in switch [-Wswitch] glbalndimer.cpp: At global scope: glbalndimer.cpp:14:20: warning: ‘const char* LocalScoreToStr(SCORE)’ defined but not used [-Wunused-function] 14 | static const char *LocalScoreToStr(SCORE s) | ^~~~~~~~~~~~~~~ In file included from muscle.h:34, from glbalndimer.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c globals.cpp -o globals.o In file included from muscle.h:34, from globals.cpp:6: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c globalslinux.cpp -o globalslinux.o globalslinux.cpp: In function ‘double GetNAN()’: globalslinux.cpp:21:24: warning: dereferencing type-punned pointer will break strict-aliasing rules [-Wstrict-aliasing] 21 | double dNAN = *( double* )nan; | ^~~~~~~~~~~~~~ In file included from muscle.h:34, from globalslinux.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c globalsosx.cpp -o globalsosx.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c globalsother.cpp -o globalsother.o In file included from muscle.h:34, from globalsother.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c globalswin32.cpp -o globalswin32.o In file included from muscle.h:34, from globalswin32.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gonnet.cpp -o gonnet.o gonnet.cpp:137:14: warning: ‘Gonnet160’ defined but not used [-Wunused-variable] 137 | static SCORE Gonnet160[20][20] = | ^~~~~~~~~ In file included from muscle.h:34, from gonnet.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gotowt.cpp -o gotowt.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c henikoffweight.cpp -o henikoffweight.o In file included from muscle.h:34, from henikoffweight.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c henikoffweightpb.cpp -o henikoffweightpb.o In file included from muscle.h:34, from henikoffweightpb.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c html.cpp -o html.o In file included from muscle.h:34, from html.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c hydro.cpp -o hydro.o In file included from muscle.h:34, from hydro.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c intmath.cpp -o intmath.o In file included from muscle.h:34, from intmath.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c local.cpp -o local.o In file included from muscle.h:34, from local.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c main.cpp -o main.o In file included from muscle.h:34, from main.cpp:7: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c makerootmsa.cpp -o makerootmsa.o makerootmsa.cpp: In function ‘void PathSeq(const Seq&, const PWPath&, bool, Seq&)’: makerootmsa.cpp:18:24: warning: unused variable ‘uSeqLength’ [-Wunused-variable] 18 | const unsigned uSeqLength = s.Length(); | ^~~~~~~~~~ makerootmsa.cpp: In function ‘short int* MakeRootSeqE(const Seq&, const Tree&, unsigned int, const ProgNode*, Seq&, short int*, short int*)’: makerootmsa.cpp:94:31: warning: unused variable ‘Path’ [-Wunused-variable] 94 | const PWPath &Path = Nodes[uNodeIndex].m_Path; | ^~~~ makerootmsa.cpp: In function ‘void MakeRootMSA(const SeqVect&, const Tree&, ProgNode*, MSA&)’: makerootmsa.cpp:168:24: warning: unused variable ‘uTreeNodeCount’ [-Wunused-variable] 168 | const unsigned uTreeNodeCount = GuideTree.GetNodeCount(); | ^~~~~~~~~~~~~~ makerootmsa.cpp: At global scope: makerootmsa.cpp:12:13: warning: ‘void PathSeq(const Seq&, const PWPath&, bool, Seq&)’ defined but not used [-Wunused-function] 12 | static void PathSeq(const Seq &s, const PWPath &Path, bool bRight, Seq &sOut) | ^~~~~~~ In file included from muscle.h:34, from makerootmsa.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c makerootmsab.cpp -o makerootmsab.o In file included from muscle.h:34, from makerootmsab.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c maketree.cpp -o maketree.o In file included from muscle.h:34, from maketree.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c mhack.cpp -o mhack.o In file included from muscle.h:34, from mhack.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c mpam200.cpp -o mpam200.o In file included from muscle.h:34, from mpam200.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c msa.cpp -o msa.o msa.cpp:419:13: warning: ‘void FmtPad(unsigned int)’ defined but not used [-Wunused-function] 419 | static void FmtPad(unsigned n) | ^~~~~~ msa.cpp:407:13: warning: ‘void FmtInt0(unsigned int, unsigned int)’ defined but not used [-Wunused-function] 407 | static void FmtInt0(unsigned u, unsigned uWidth) | ^~~~~~~ msa.cpp:392:13: warning: ‘void FmtInt(unsigned int, unsigned int)’ defined but not used [-Wunused-function] 392 | static void FmtInt(unsigned u, unsigned uWidth) | ^~~~~~ msa.cpp:385:13: warning: ‘void FmtChar(char, unsigned int)’ defined but not used [-Wunused-function] 385 | static void FmtChar(char c, unsigned uWidth) | ^~~~~~~ In file included from muscle.h:34, from msa.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c msa2.cpp -o msa2.o msa2.cpp: In function ‘void SetMSAWeightsMuscle(MSA&)’: msa2.cpp:357:16: warning: enumeration value ‘SEQWEIGHT_Undefined’ not handled in switch [-Wswitch] 357 | switch (Method) | ^ msa2.cpp: In function ‘void MSAAppend(MSA&, const MSA&)’: msa2.cpp:476:24: warning: unused variable ‘uColCountCat’ [-Wunused-variable] 476 | const unsigned uColCountCat = uColCount1 + uColCount2; | ^~~~~~~~~~~~ In file included from muscle.h:34, from msa2.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c msadistkimura.cpp -o msadistkimura.o In file included from muscle.h:34, from msadistkimura.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c msf.cpp -o msf.o msf.cpp:24:20: warning: ‘const char* strfind(const char*, const char*)’ defined but not used [-Wunused-function] 24 | static const char *strfind(const char *s, const char *t) | ^~~~~~~ In file included from muscle.h:34, from msf.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c muscle.cpp -o muscle.o In file included from muscle.h:34, from muscle.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c muscleout.cpp -o muscleout.o In file included from muscle.h:34, from muscleout.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c nucmx.cpp -o nucmx.o In file included from muscle.h:34, from nucmx.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c nwdasimple.cpp -o nwdasimple.o In file included from muscle.h:34, from nwdasimple.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c nwdasimple2.cpp -o nwdasimple2.o In file included from muscle.h:34, from nwdasimple2.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c nwdasmall.cpp -o nwdasmall.o In file included from muscle.h:34, from nwdasmall.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c nwrec.cpp -o nwrec.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c nwsmall.cpp -o nwsmall.o In file included from muscle.h:34, from nwsmall.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c objscore.cpp -o objscore.o objscore.cpp: In function ‘SCORE ObjScore(const MSA&, const unsigned int*, unsigned int, const unsigned int*, unsigned int)’: objscore.cpp:31:16: warning: enumeration value ‘OBJSCORE_Undefined’ not handled in switch [-Wswitch] 31 | switch (OS) | ^ objscore.cpp:31:16: warning: enumeration value ‘OBJSCORE_SPM’ not handled in switch [-Wswitch] In file included from muscle.h:34, from objscore.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c objscore2.cpp -o objscore2.o objscore2.cpp: In function ‘SCORE TermGapScore(bool)’: objscore2.cpp:22:16: warning: enumeration value ‘TERMGAPS_Undefined’ not handled in switch [-Wswitch] 22 | switch (g_TermGaps) | ^ objscore2.cpp: In function ‘SCORE ScoreSeqPairLetters(const MSA&, unsigned int, const MSA&, unsigned int)’: objscore2.cpp:62:15: warning: unused variable ‘scoreGaps’ [-Wunused-variable] 62 | SCORE scoreGaps = 0; | ^~~~~~~~~ objscore2.cpp:63:14: warning: unused variable ‘bGapping1’ [-Wunused-variable] 63 | bool bGapping1 = false; | ^~~~~~~~~ objscore2.cpp:64:14: warning: unused variable ‘bGapping2’ [-Wunused-variable] 64 | bool bGapping2 = false; | ^~~~~~~~~ objscore2.cpp:67:14: warning: variable ‘bLeftTermGap’ set but not used [-Wunused-but-set-variable] 67 | bool bLeftTermGap = false; | ^~~~~~~~~~~~ objscore2.cpp:82:14: warning: variable ‘bRightTermGap’ set but not used [-Wunused-but-set-variable] 82 | bool bRightTermGap = false; | ^~~~~~~~~~~~~ objscore2.cpp: In function ‘SCORE ScoreSeqPairGaps(const MSA&, unsigned int, const MSA&, unsigned int)’: objscore2.cpp:140:14: warning: variable ‘bLeftTermGap’ set but not used [-Wunused-but-set-variable] 140 | bool bLeftTermGap = false; | ^~~~~~~~~~~~ objscore2.cpp:155:14: warning: variable ‘bRightTermGap’ set but not used [-Wunused-but-set-variable] 155 | bool bRightTermGap = false; | ^~~~~~~~~~~~~ objscore2.cpp: In function ‘SCORE ObjScoreDP(const MSA&, const MSA&, SCORE*)’: objscore2.cpp:314:24: warning: unused variable ‘uColCount2’ [-Wunused-variable] 314 | const unsigned uColCount2 = msa2.GetColCount(); | ^~~~~~~~~~ objscore2.cpp: In function ‘SCORE ObjScoreXP(const MSA&, const MSA&)’: objscore2.cpp:493:38: warning: unused variable ‘w’ [-Wunused-variable] 493 | const WEIGHT w = w1*w2; | ^ In file included from muscle.h:34, from objscore2.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c objscoreda.cpp -o objscoreda.o In file included from muscle.h:34, from objscoreda.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c onexception.cpp -o onexception.o In file included from muscle.h:34, from onexception.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c optionsR.cpp -o optionsR.o In file included from muscle.h:34, from optionsR.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c outweights.cpp -o outweights.o In file included from muscle.h:34, from outweights.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c pam200mafft.cpp -o pam200mafft.o pam200mafft.cpp:6:14: warning: ‘PAM200’ defined but not used [-Wunused-variable] 6 | static float PAM200[23][23] = | ^~~~~~ In file included from muscle.h:34, from pam200mafft.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c params.cpp -o params.o params.cpp: In function ‘void SetPPScore(bool)’: params.cpp:445:16: warning: enumeration value ‘PPSCORE_Undefined’ not handled in switch [-Wswitch] 445 | switch (g_PPScore) | ^ params.cpp: In function ‘void default_params()’: params.cpp:659:9: warning: statement has no effect [-Wunused-value] 659 | g_ptrScoreMatrix; | ^~~~~~~~~~~~~~~~ params.cpp:652:21: warning: unused variable ‘VTML_LA’ [-Wunused-variable] 652 | SCOREMATRIX VTML_LA; | ^~~~~~~ params.cpp:653:21: warning: unused variable ‘PAM200’ [-Wunused-variable] 653 | SCOREMATRIX PAM200; | ^~~~~~ params.cpp:654:21: warning: unused variable ‘PAM200NoCenter’ [-Wunused-variable] 654 | SCOREMATRIX PAM200NoCenter; | ^~~~~~~~~~~~~~ params.cpp:655:21: warning: unused variable ‘VTML_SP’ [-Wunused-variable] 655 | SCOREMATRIX VTML_SP; | ^~~~~~~ params.cpp:656:21: warning: unused variable ‘VTML_SPNoCenter’ [-Wunused-variable] 656 | SCOREMATRIX VTML_SPNoCenter; | ^~~~~~~~~~~~~~~ params.cpp:657:21: warning: unused variable ‘NUC_SP’ [-Wunused-variable] 657 | SCOREMATRIX NUC_SP; | ^~~~~~ In file included from muscle.h:34, from params.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c phy.cpp -o phy.o phy.cpp: In member function ‘void Tree::RootUnrootedTree(ROOT)’: phy.cpp:665:16: warning: unused variable ‘dEdgeLength’ [-Wunused-variable] 665 | double dEdgeLength = GetEdgeLength(uNode1, uNode2); | ^~~~~~~~~~~ In file included from muscle.h:34, from phy.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c phy2.cpp -o phy2.o In file included from muscle.h:34, from phy2.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c phy3.cpp -o phy3.o phy3.cpp: In function ‘void CalcInfo(const Tree&, unsigned int, unsigned int, EdgeInfo**)’: phy3.cpp:125:22: warning: unused variable ‘dThisDist’ [-Wunused-variable] 125 | const double dThisDist = tree.GetEdgeLength(uNode1, uNode2); | ^~~~~~~~~ phy3.cpp: In function ‘void FindRoot(const Tree&, unsigned int*, unsigned int*, double*, double*, ROOT)’: phy3.cpp:167:24: warning: unused variable ‘uLeafCount’ [-Wunused-variable] 167 | const unsigned uLeafCount = tree.GetLeafCount(); | ^~~~~~~~~~ phy3.cpp:190:16: warning: unused variable ‘dAllMaxDist’ [-Wunused-variable] 190 | double dAllMaxDist = -1e20; | ^~~~~~~~~~~ phy3.cpp:191:18: warning: unused variable ‘uMaxFrom’ [-Wunused-variable] 191 | unsigned uMaxFrom = NULL_NEIGHBOR; | ^~~~~~~~ phy3.cpp:192:18: warning: unused variable ‘uMaxTo’ [-Wunused-variable] 192 | unsigned uMaxTo = NULL_NEIGHBOR; | ^~~~~~ phy3.cpp: In function ‘void RootByMidLongestSpan(const Tree&, EdgeInfo**, unsigned int*, unsigned int*, double*, double*)’: phy3.cpp:263:18: warning: variable ‘uMostDistantLeaf’ set but not used [-Wunused-but-set-variable] 263 | unsigned uMostDistantLeaf = NULL_NEIGHBOR; | ^~~~~~~~~~~~~~~~ phy3.cpp: At global scope: phy3.cpp:45:13: warning: ‘void ListEIs(EdgeInfo**, unsigned int)’ defined but not used [-Wunused-function] 45 | static void ListEIs(EdgeInfo **EIs, unsigned uNodeCount) | ^~~~~~~ In file included from muscle.h:34, from phy3.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c phy4.cpp -o phy4.o In file included from muscle.h:34, from phy4.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c phyfromclust.cpp -o phyfromclust.o In file included from muscle.h:34, from phyfromclust.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c phyfromfile.cpp -o phyfromfile.o In file included from muscle.h:34, from phyfromfile.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c physeq.cpp -o physeq.o physeq.cpp: In member function ‘void MSA::ToPhySequentialFile(TextFile&) const’: physeq.cpp:60:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 60 | if (Col == ColCount) | ~~~~^~~~~~~~~~~ physeq.cpp:71:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 71 | if (Col == ColCount) | ~~~~^~~~~~~~~~~ physeq.cpp: In member function ‘void MSA::ToPhyInterleavedFile(TextFile&) const’: physeq.cpp:112:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 112 | if (Col == ColCount) | ~~~~^~~~~~~~~~~ physeq.cpp:124:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 124 | if (Col == ColCount) | ~~~~^~~~~~~~~~~ In file included from muscle.h:34, from physeq.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c phytofile.cpp -o phytofile.o In file included from muscle.h:34, from phytofile.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c posgap.cpp -o posgap.o In file included from muscle.h:34, from posgap.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c ppscore.cpp -o ppscore.o In file included from muscle.h:34, from ppscore.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c profdb.cpp -o profdb.o In file included from clustsetmsa.h:8, from profdb.cpp:9: msadist.h: In member function ‘double MSADist::ComputeDist(const MSA&, unsigned int, unsigned int)’: msadist.h:22:23: warning: enumeration value ‘DISTANCE_Undefined’ not handled in switch [-Wswitch] 22 | switch(m_Distance) | ^ msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kmer6_6’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kmer20_3’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kmer20_4’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kbit20_3’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kmer4_6’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_PWKimura’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_PWScoreDist’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_ScoreDist’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Edit’ not handled in switch [-Wswitch] In file included from muscle.h:34, from profdb.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c profile.cpp -o profile.o In file included from muscle.h:34, from profile.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c profilefrommsa.cpp -o profilefrommsa.o profilefrommsa.cpp: In function ‘void ListProfile(const ProfPos*, unsigned int, const MSA*)’: profilefrommsa.cpp:131:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 131 | if (-1 == PP.m_uResidueGroup) | ~~~^~~~~~~~~~~~~~~~~~~~~ profilefrommsa.cpp: In function ‘unsigned int ResidueGroupFromFCounts(const FCOUNT*)’: profilefrommsa.cpp:230:16: warning: enumeration value ‘ALPHA_Undefined’ not handled in switch [-Wswitch] 230 | switch (g_Alpha) | ^ profilefrommsa.cpp: In function ‘ProfPos* ProfileFromMSA(const MSA&)’: profilefrommsa.cpp:245:24: warning: unused variable ‘uSeqCount’ [-Wunused-variable] 245 | const unsigned uSeqCount = a.GetSeqCount(); | ^~~~~~~~~ profilefrommsa.cpp:253:18: warning: unused variable ‘uHydrophobicRunLength’ [-Wunused-variable] 253 | unsigned uHydrophobicRunLength = 0; | ^~~~~~~~~~~~~~~~~~~~~ profilefrommsa.cpp: At global scope: profilefrommsa.cpp:15:20: warning: ‘const char* LocalScoreToStr(SCORE)’ defined but not used [-Wunused-function] 15 | static const char *LocalScoreToStr(SCORE s) | ^~~~~~~~~~~~~~~ In file included from muscle.h:34, from profilefrommsa.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c progalign.cpp -o progalign.o progalign.cpp: In function ‘ProgNode* ProgressiveAlignE(const SeqVect&, const Tree&, MSA&)’: progalign.cpp:41:24: warning: unused variable ‘uIterCount’ [-Wunused-variable] 41 | const unsigned uIterCount = uSeqCount - 1; | ^~~~~~~~~~ In file included from muscle.h:34, from progalign.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c progress.cpp -o progress.o In file included from muscle.h:34, from progress.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c progressivealign.cpp -o progressivealign.o In file included from muscle.h:34, from progressivealign.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c pwpath.cpp -o pwpath.o pwpath.cpp: In member function ‘void PWPath::Validate() const’: pwpath.cpp:79:23: warning: unused variable ‘LastEdge’ [-Wunused-variable] 79 | const PWEdge &LastEdge = GetEdge(uEdgeCount - 1); | ^~~~~~~~ pwpath.cpp: In member function ‘void PWPath::FromFile(TextFile&)’: pwpath.cpp:212:18: warning: unused variable ‘uEdgeIndex’ [-Wunused-variable] 212 | unsigned uEdgeIndex = 0; | ^~~~~~~~~~ In file included from muscle.h:34, from pwpath.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c readmx.cpp -o readmx.o readmx.cpp: In function ‘float (* ReadMx(TextFile&))[32][32]’: readmx.cpp:83:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 83 | for (int i = 0; i < MAX_ALPHA; ++i) | ~~^~~~~~~~~~~ readmx.cpp:84:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 84 | for (int j = 0; j < MAX_ALPHA; ++j) | ~~^~~~~~~~~~~ readmx.cpp: At global scope: readmx.cpp:30:17: warning: ‘unsigned int MxCharToLetter(char)’ defined but not used [-Wunused-function] 30 | static unsigned MxCharToLetter(char c) | ^~~~~~~~~~~~~~ In file included from muscle.h:34, from readmx.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c realigndiffs.cpp -o realigndiffs.o In file included from muscle.h:34, from realigndiffs.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c realigndiffse.cpp -o realigndiffse.o realigndiffse.cpp: In function ‘void RealignDiffsE(const MSA&, const SeqVect&, const Tree&, const Tree&, const unsigned int*, MSA&, ProgNode*)’: realigndiffse.cpp:72:34: warning: unused variable ‘uNewRight’ [-Wunused-variable] 72 | unsigned uNewRight = NewTree.GetRight(uNewNodeIndex); | ^~~~~~~~~ realigndiffse.cpp:75:34: warning: unused variable ‘uOldRight’ [-Wunused-variable] 75 | unsigned uOldRight = OldTree.GetRight(uOld); | ^~~~~~~~~ In file included from muscle.h:34, from realigndiffse.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c redblack.cpp -o redblack.o In file included from muscle.h:34, from redblack.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c refine.cpp -o refine.o In file included from clustsetmsa.h:8, from refine.cpp:9: msadist.h: In member function ‘double MSADist::ComputeDist(const MSA&, unsigned int, unsigned int)’: msadist.h:22:23: warning: enumeration value ‘DISTANCE_Undefined’ not handled in switch [-Wswitch] 22 | switch(m_Distance) | ^ msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kmer6_6’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kmer20_3’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kmer20_4’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kbit20_3’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kmer4_6’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_PWKimura’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_PWScoreDist’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_ScoreDist’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Edit’ not handled in switch [-Wswitch] In file included from muscle.h:34, from refine.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c refinehoriz.cpp -o refinehoriz.o In file included from muscle.h:34, from refinehoriz.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ refinehoriz.cpp: In function ‘bool RefineHoriz(MSA&, const Tree&, unsigned int, bool, bool)’: refinehoriz.cpp:169:23: warning: ‘scoreBefore’ may be used uninitialized [-Wmaybe-uninitialized] 169 | SCORE scoreBefore; | ^~~~~~~~~~~ refinehoriz.cpp:170:23: warning: ‘scoreAfter’ may be used uninitialized [-Wmaybe-uninitialized] 170 | SCORE scoreAfter; | ^~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c refinesubfams.cpp -o refinesubfams.o refinesubfams.cpp: In function ‘bool RefineSubfams(MSA&, const Tree&, unsigned int)’: refinesubfams.cpp:63:24: warning: unused variable ‘uNodeCount’ [-Wunused-variable] 63 | const unsigned uNodeCount = tree.GetNodeCount(); | ^~~~~~~~~~ In file included from muscle.h:34, from refinesubfams.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c refinetree.cpp -o refinetree.o In file included from muscle.h:34, from refinetree.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c refinetreee.cpp -o refinetreee.o In file included from muscle.h:34, from refinetreee.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c refinevert.cpp -o refinevert.o In file included from muscle.h:34, from refinevert.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c refinew.cpp -o refinew.o refinew.cpp: In function ‘void AppendMSA(MSA&, const MSA&)’: refinew.cpp:26:24: warning: unused variable ‘uColCountCat’ [-Wunused-variable] 26 | const unsigned uColCountCat = uColCount1 + uColCount2; | ^~~~~~~~~~~~ refinew.cpp: In function ‘void RefineW(const MSA&, MSA&)’: refinew.cpp:129:34: warning: unused variable ‘uOutCols’ [-Wunused-variable] 129 | unsigned uOutCols = msaOut.GetColCount(); | ^~~~~~~~ In file included from muscle.h:34, from refinew.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c savebest.cpp -o savebest.o In file included from muscle.h:34, from savebest.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c scoredist.cpp -o scoredist.o In file included from muscle.h:34, from scoredist.cpp:3: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c scoregaps.cpp -o scoregaps.o scoregaps.cpp:80:14: warning: ‘SCORE Penalty(unsigned int, bool)’ defined but not used [-Wunused-function] 80 | static SCORE Penalty(unsigned Length, bool Term) | ^~~~~~~ scoregaps.cpp:37:13: warning: ‘void FreeGapInfo(GAPINFO*)’ defined but not used [-Wunused-function] 37 | static void FreeGapInfo(GAPINFO *GI) | ^~~~~~~~~~~ In file included from muscle.h:34, from scoregaps.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c scorehistory.cpp -o scorehistory.o In file included from muscle.h:34, from scorehistory.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c scorepp.cpp -o scorepp.o In file included from muscle.h:34, from scorepp.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c seq.cpp -o seq.o In file included from muscle.h:34, from seq.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c seqvect.cpp -o seqvect.o In file included from muscle.h:34, from seqvect.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c setblosumweights.cpp -o setblosumweights.o In file included from muscle.h:34, from setblosumweights.cpp:42: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c setgscweights.cpp -o setgscweights.o In file included from muscle.h:34, from setgscweights.cpp:104: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c setnewhandler.cpp -o setnewhandler.o In file included from muscle.h:34, from setnewhandler.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c spfast.cpp -o spfast.o spfast.cpp: In function ‘SCORE ObjScoreSPDimer(const MSA&)’: spfast.cpp:252:24: warning: unused variable ‘uSeqCount’ [-Wunused-variable] 252 | const unsigned uSeqCount = msa.GetSeqCount(); | ^~~~~~~~~ spfast.cpp: At global scope: spfast.cpp:59:14: warning: ‘SCORE SPColBrute(const MSA&, unsigned int)’ defined but not used [-Wunused-function] 59 | static SCORE SPColBrute(const MSA &msa, unsigned uColIndex) | ^~~~~~~~~~ spfast.cpp:14:20: warning: ‘const char* GapTypeToStr(int)’ defined but not used [-Wunused-function] 14 | static const char *GapTypeToStr(int GapType) | ^~~~~~~~~~~~ In file included from muscle.h:34, from spfast.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c sptest.cpp -o sptest.o In file included from muscle.h:34, from sptest.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c stabilize.cpp -o stabilize.o In file included from muscle.h:34, from stabilize.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c subfam.cpp -o subfam.o subfam.cpp: In function ‘void AlignSubFam(SeqVect&, const Tree&, unsigned int, MSA&)’: subfam.cpp:173:13: warning: unused variable ‘NotUsed’ [-Wunused-variable] 173 | int NotUsed = system(CmdLine); | ^~~~~~~ In file included from muscle.h:34, from subfam.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c subfams.cpp -o subfams.o subfams.cpp:52:13: warning: ‘void Relax(DistFunc&, unsigned int, unsigned int)’ defined but not used [-Wunused-function] 52 | static void Relax(DistFunc &DF, unsigned u, unsigned v) | ^~~~~ subfams.cpp:40:13: warning: ‘void InitializeSingleSource(DistFunc&, unsigned int)’ defined but not used [-Wunused-function] 40 | static void InitializeSingleSource(DistFunc &DF, unsigned uIndex) | ^~~~~~~~~~~~~~~~~~~~~~ subfams.cpp:10:13: warning: ‘void GetMostDistantPair(DistFunc&, unsigned int*, unsigned int*)’ defined but not used [-Wunused-function] 10 | static void GetMostDistantPair(DistFunc &DF, unsigned *ptrIndex1, unsigned *ptrIndex2) | ^~~~~~~~~~~~~~~~~~ In file included from muscle.h:34, from subfams.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c sw.cpp -o sw.o sw.cpp:20:13: warning: ‘void ListDP(const SCORE*, const ProfPos*, const ProfPos*, unsigned int, unsigned int)’ defined but not used [-Wunused-function] 20 | static void ListDP(const SCORE *DPM_, const ProfPos *PA, const ProfPos *PB, | ^~~~~~ In file included from muscle.h:34, from sw.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c termgaps.cpp -o termgaps.o In file included from muscle.h:34, from termgaps.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c textfile.cpp -o textfile.o textfile.cpp: In member function ‘void TextFile::PutChar(char)’: textfile.cpp:104:13: warning: unused variable ‘i’ [-Wunused-variable] 104 | int i = fputc(c, m_ptrFile); | ^ textfile.cpp: In member function ‘void TextFile::PutString(const char*)’: textfile.cpp:117:13: warning: unused variable ‘iError’ [-Wunused-variable] 117 | int iError = fputs(szLine, m_ptrFile); | ^~~~~~ In file included from muscle.h:34, from textfile.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c threewaywt.cpp -o threewaywt.o In file included from muscle.h:34, from threewaywt.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c tomhydro.cpp -o tomhydro.o In file included from muscle.h:34, from tomhydro.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c traceback.cpp -o traceback.o traceback.cpp: In function ‘SCORE TraceBack(const ProfPos*, unsigned int, const ProfPos*, unsigned int, const SCORE*, const SCORE*, const SCORE*, PWPath&)’: traceback.cpp:21:24: warning: unused variable ‘uPrefixCountB’ [-Wunused-variable] 21 | const unsigned uPrefixCountB = uLengthB + 1; | ^~~~~~~~~~~~~ In file included from muscle.h:34, from traceback.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c tracebackopt.cpp -o tracebackopt.o In file included from muscle.h:34, from tracebackopt.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c tracebacksw.cpp -o tracebacksw.o tracebacksw.cpp: In function ‘void TraceBackSW(const ProfPos*, unsigned int, const ProfPos*, unsigned int, const SCORE*, const SCORE*, const SCORE*, unsigned int, unsigned int, PWPath&)’: tracebacksw.cpp:22:24: warning: unused variable ‘uPrefixCountB’ [-Wunused-variable] 22 | const unsigned uPrefixCountB = uLengthB + 1; | ^~~~~~~~~~~~~ tracebacksw.cpp:29:15: warning: unused variable ‘scoreMax’ [-Wunused-variable] 29 | SCORE scoreMax = DPM(uPrefixLengthA, uPrefixLengthB); | ^~~~~~~~ In file included from muscle.h:34, from tracebacksw.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c treefrommsa.cpp -o treefrommsa.o In file included from clustsetmsa.h:8, from treefrommsa.cpp:5: msadist.h: In member function ‘double MSADist::ComputeDist(const MSA&, unsigned int, unsigned int)’: msadist.h:22:23: warning: enumeration value ‘DISTANCE_Undefined’ not handled in switch [-Wswitch] 22 | switch(m_Distance) | ^ msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kmer6_6’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kmer20_3’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kmer20_4’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kbit20_3’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kmer4_6’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_PWKimura’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_PWScoreDist’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_ScoreDist’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Edit’ not handled in switch [-Wswitch] In file included from muscle.h:34, from treefrommsa.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c typetostr.cpp -o typetostr.o In file included from muscle.h:34, from typetostr.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ typetostr.cpp: In function ‘const char* SecsToStr(long unsigned int)’: typetostr.cpp:13:28: warning: ‘:’ directive writing 1 byte into a region of size between 0 and 14 [-Wformat-overflow=] 13 | sprintf(Str, "%02ld:%02ld:%02ld", hh, mm, ss); | ^ typetostr.cpp:13:22: note: directive argument in the range [0, 59] 13 | sprintf(Str, "%02ld:%02ld:%02ld", hh, mm, ss); | ^~~~~~~~~~~~~~~~~~~ typetostr.cpp:13:22: note: directive argument in the range [0, 59] In file included from /usr/include/stdio.h:970, from muscle.h:27: In function ‘int sprintf(char*, const char*, ...)’, inlined from ‘const char* SecsToStr(long unsigned int)’ at typetostr.cpp:13:9: /usr/include/x86_64-linux-gnu/bits/stdio2.h:30:34: note: ‘__builtin___sprintf_chk’ output between 9 and 23 bytes into a destination of size 16 30 | return __builtin___sprintf_chk (__s, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c upgma2.cpp -o upgma2.o upgma2.cpp:68:13: warning: ‘void ListState()’ defined but not used [-Wunused-function] 68 | static void ListState() | ^~~~~~~~~ In file included from muscle.h:34, from upgma2.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ upgma2.cpp: In function ‘void UPGMA2(const DistCalc&, Tree&, LINKAGE)’: upgma2.cpp:292:36: warning: ‘dtNewDist’ may be used uninitialized [-Wmaybe-uninitialized] 292 | g_Dist[vL] = dtNewDist; | ~~~~~~~~~~~^~~~~~~~~~~ upgma2.cpp:252:32: note: ‘dtNewDist’ was declared here 252 | dist_t dtNewDist; | ^~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c usage.cpp -o usage.o In file included from muscle.h:34, from usage.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c validateids.cpp -o validateids.o In file included from muscle.h:34, from validateids.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c vtml2.cpp -o vtml2.o In file included from muscle.h:34, from vtml2.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c writescorefile.cpp -o writescorefile.o In file included from muscle.h:34, from writescorefile.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ In function ‘double GetColScore(const MSA&, unsigned int)’, inlined from ‘void WriteScoreFile(const MSA&)’ at writescorefile.cpp:59:29: writescorefile.cpp:40:30: warning: ‘Score’ may be used uninitialized [-Wmaybe-uninitialized] 40 | dSum += Score; | ~~~~~^~~~~~~~ writescorefile.cpp: In function ‘void WriteScoreFile(const MSA&)’: writescorefile.cpp:27:32: note: ‘Score’ was declared here 27 | double Score; | ^~~~~ g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o muscle.so aligngivenpath.o aligngivenpathsw.o aligntwomsas.o aligntwoprofs.o aln.o alpha.o anchors.o bittraceback.o blosum62.o blosumla.o clust.o cluster.o clwwt.o color.o cons.o diaglist.o diffobjscore.o diffpaths.o difftrees.o difftreese.o distcalc.o distfunc.o distpwkimura.o domuscle.o dosp.o dpreglist.o drawtree.o edgelist.o enumopts.o enumtostr.o estring.o fasta.o fasta2.o fastclust.o fastdist.o fastdistjones.o fastdistkbit.o fastdistkmer.o fastdistmafft.o fastdistnuc.o fastscorepath2.o finddiags.o finddiagsn.o glbalign.o glbalign352.o glbaligndiag.o glbalignla.o glbalignle.o glbalignns.o glbalignsimple.o glbalignsp.o glbalignspn.o glbalignss.o glbalndimer.o globals.o globalslinux.o globalsosx.o globalsother.o globalswin32.o gonnet.o gotowt.o henikoffweight.o henikoffweightpb.o html.o hydro.o intmath.o local.o main.o makerootmsa.o makerootmsab.o maketree.o mhack.o mpam200.o msa.o msa2.o msadistkimura.o msf.o muscle.o muscleout.o nucmx.o nwdasimple.o nwdasimple2.o nwdasmall.o nwrec.o nwsmall.o objscore.o objscore2.o objscoreda.o onexception.o optionsR.o outweights.o pam200mafft.o params.o phy.o phy2.o phy3.o phy4.o phyfromclust.o phyfromfile.o physeq.o phytofile.o posgap.o ppscore.o profdb.o profile.o profilefrommsa.o progalign.o progress.o progressivealign.o pwpath.o readmx.o realigndiffs.o realigndiffse.o redblack.o refine.o refinehoriz.o refinesubfams.o refinetree.o refinetreee.o refinevert.o refinew.o savebest.o scoredist.o scoregaps.o scorehistory.o scorepp.o seq.o seqvect.o setblosumweights.o setgscweights.o setnewhandler.o spfast.o sptest.o stabilize.o subfam.o subfams.o sw.o termgaps.o textfile.o threewaywt.o tomhydro.o traceback.o tracebackopt.o tracebacksw.o treefrommsa.o typetostr.o upgma2.o usage.o validateids.o vtml2.o writescorefile.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpF7SGtp/R.INSTALL366dbf3457677e/muscle/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-muscle/00new/muscle/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (muscle) begin installing package ‘crosstable’ * installing *source* package ‘incidence’ ... ** package ‘incidence’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (incidence) begin installing package ‘pkgbuild’ * installing *source* package ‘semantic.assets’ ... ** package ‘semantic.assets’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (semantic.assets) begin installing package ‘editData’ * installing *source* package ‘bsplus’ ... ** package ‘bsplus’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (bsplus) begin installing package ‘xaringan’ * installing *source* package ‘future.batchtools’ ... ** package ‘future.batchtools’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (future.batchtools) begin installing package ‘shinyMobile’ * installing *source* package ‘googleCloudStorageR’ ... ** package ‘googleCloudStorageR’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (googleCloudStorageR) begin installing package ‘shiny.i18n’ * installing *source* package ‘pkgbuild’ ... ** package ‘pkgbuild’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pkgbuild) begin installing package ‘sparkline’ * installing *source* package ‘yamlet’ ... ** package ‘yamlet’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (yamlet) * installing *source* package ‘gmailr’ ... ** package ‘gmailr’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gmailr) begin installing package ‘cleanr’ begin installing package ‘document’ * installing *source* package ‘xaringan’ ... ** package ‘xaringan’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (xaringan) begin installing package ‘diffviewer’ * installing *source* package ‘editData’ ... ** package ‘editData’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (editData) begin installing package ‘seededlda’ * installing *source* package ‘targets’ ... ** package ‘targets’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (targets) begin installing package ‘phenocamr’ * installing *source* package ‘madshapR’ ... ** package ‘madshapR’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (madshapR) begin installing package ‘text2speech’ * installing *source* package ‘document’ ... ** package ‘document’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (document) begin installing package ‘blavaan’ * installing *source* package ‘cleanr’ ... ** package ‘cleanr’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (cleanr) begin installing package ‘languageserver’ * installing *source* package ‘sparkline’ ... ** package ‘sparkline’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (sparkline) begin installing package ‘EpiEstim’ * installing *source* package ‘diffviewer’ ... ** package ‘diffviewer’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (diffviewer) begin installing package ‘rhub’ * installing *source* package ‘shiny.i18n’ ... ** package ‘shiny.i18n’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (shiny.i18n) begin installing package ‘packer’ * installing *source* package ‘dimRed’ ... ** package ‘dimRed’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading Creating a new generic function for ‘as.data.frame’ in package ‘dimRed’ Creating a generic function for ‘nrow’ from package ‘base’ in package ‘dimRed’ Creating a new generic function for ‘embed’ in package ‘dimRed’ ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (dimRed) begin installing package ‘pkgdepends’ * installing *source* package ‘shinyMobile’ ... ** package ‘shinyMobile’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (shinyMobile) begin installing package ‘TreeDist’ * installing *source* package ‘phenocamr’ ... ** package ‘phenocamr’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (phenocamr) begin installing package ‘shiny.semantic’ * installing *source* package ‘text2speech’ ... ** package ‘text2speech’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (text2speech) begin installing package ‘warbleR’ * installing *source* package ‘phyloregion’ ... ** package ‘phyloregion’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (phyloregion) begin installing package ‘attachment’ * installing *source* package ‘crosstable’ ... ** package ‘crosstable’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (crosstable) begin installing package ‘dockerfiler’ * installing *source* package ‘packer’ ... ** package ‘packer’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (packer) begin installing package ‘papaja’ * installing *source* package ‘shiny.semantic’ ... ** package ‘shiny.semantic’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (shiny.semantic) begin installing package ‘rhino’ * installing *source* package ‘attachment’ ... ** package ‘attachment’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (attachment) begin installing package ‘macleish’ * installing *source* package ‘rhub’ ... ** package ‘rhub’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rhub) begin installing package ‘tarchetypes’ * installing *source* package ‘ddalpha’ ... ** package ‘ddalpha’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-3) 14.2.0’ using Fortran compiler: ‘GNU Fortran (Debian 14.2.0-3) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpmbx2GM/R.INSTALL3665241bd659ad/ddalpha/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c AlphaProcedure.cpp -o AlphaProcedure.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/aux_/na_assert.hpp:23, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/arg.hpp:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/placeholders.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/apply.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_optimization.hpp:18, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_wrapper.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array.hpp:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:22, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/vector.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/matrix.hpp:18, from stdafx.h:21, from AlphaProcedure.cpp:14: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses] 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/traits.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:27: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:111:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 111 | public std::iterator { | ^~~~~~~~ In file included from /usr/include/c++/14/bits/stl_algobase.h:65, from /usr/include/c++/14/algorithm:60, from stdafx.h:15: /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:149:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 149 | public std::iterator { | ^~~~~~~~ /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:204:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 204 | public std::iterator { | ^~~~~~~~ /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c BandDepth.cpp -o BandDepth.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/aux_/na_assert.hpp:23, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/arg.hpp:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/placeholders.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/apply.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_optimization.hpp:18, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_wrapper.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array.hpp:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:22, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/vector.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/matrix.hpp:18, from stdafx.h:21, from BandDepth.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses] 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/traits.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:27: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:111:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 111 | public std::iterator { | ^~~~~~~~ In file included from /usr/include/c++/14/bits/stl_algobase.h:65, from /usr/include/c++/14/algorithm:60, from stdafx.h:15: /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:149:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 149 | public std::iterator { | ^~~~~~~~ /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:204:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 204 | public std::iterator { | ^~~~~~~~ /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ In file included from /usr/include/string.h:548, from /usr/include/c++/14/cstring:43, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/core/bit.hpp:22, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/integer/integer_log2.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/random/detail/integer_log2.hpp:19, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/random/detail/large_arithmetic.hpp:19, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/random/detail/const_mod.hpp:23, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/random/linear_congruential.hpp:28, from stdafx.h:24: In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void BandDepth(T3DMatrix, T3DMatrix, int, int, int, int, bool, int, double*)’ at BandDepth.cpp:43:15: /usr/include/x86_64-linux-gnu/bits/string_fortified.h:29:33: warning: ‘void* __builtin___memcpy_chk(void*, const void*, long unsigned int, long unsigned int)’ specified bound 18446744073709551608 exceeds maximum object size 9223372036854775807 [-Wstringop-overflow=] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Common.cpp -o Common.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/aux_/na_assert.hpp:23, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/arg.hpp:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/placeholders.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/apply.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_optimization.hpp:18, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_wrapper.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array.hpp:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:22, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/vector.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/matrix.hpp:18, from stdafx.h:21, from Common.cpp:10: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses] 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/traits.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:27: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:111:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 111 | public std::iterator { | ^~~~~~~~ In file included from /usr/include/c++/14/bits/stl_algobase.h:65, from /usr/include/c++/14/algorithm:60, from stdafx.h:15: /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:149:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 149 | public std::iterator { | ^~~~~~~~ /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:204:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 204 | public std::iterator { | ^~~~~~~~ /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ Common.cpp: In function ‘double determinant(bMatrix&)’: Common.cpp:164:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘boost::numeric::ublas::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 164 | for (int i = 0; i < pivots.size(); ++i) | ~~^~~~~~~~~~~~~~~ Common.cpp:166:31: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘int’ [-Wsign-compare] 166 | if (pivots(i) != i) | ~~~~~~~~~~^~~~ Common.cpp: In function ‘void outVector(TPoint&)’: Common.cpp:270:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 270 | for (int j = 0; j < point.size(); j++){ | ~~^~~~~~~~~~~~~~ Common.cpp: In function ‘void outMatrix(TMatrix&)’: Common.cpp:280:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 280 | for (int i = 0; i < points.size(); i++){ | ~~^~~~~~~~~~~~~~~ Common.cpp:282:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 282 | for (int j = 0; j < points[i].size(); j++){ | ~~^~~~~~~~~~~~~~~~~~ Common.cpp: In function ‘void outFeatures(Features)’: Common.cpp:294:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 294 | for (int i = 0; i < fs.size(); i++){ | ~~^~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DKnn.cpp -o DKnn.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/aux_/na_assert.hpp:23, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/arg.hpp:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/placeholders.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/apply.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_optimization.hpp:18, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_wrapper.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array.hpp:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:22, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/vector.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/matrix.hpp:18, from stdafx.h:21, from DKnn.cpp:10: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses] 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/traits.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:27: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:111:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 111 | public std::iterator { | ^~~~~~~~ In file included from /usr/include/c++/14/bits/stl_algobase.h:65, from /usr/include/c++/14/algorithm:60, from stdafx.h:15: /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:149:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 149 | public std::iterator { | ^~~~~~~~ /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:204:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 204 | public std::iterator { | ^~~~~~~~ /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ DKnn.cpp: In function ‘void knnGetClasses(TDMatrix, int*, int, int, int, TDMatrix, int, int, bool, int, int*)’: DKnn.cpp:76:28: warning: ‘ptPrjDepths’ may be used uninitialized [-Wmaybe-uninitialized] 76 | CountDepths(reflected, learnlabels, nlearn * 2, d, learnpoints, nlearn, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 77 | depthType, depths, tempDepths, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 78 | car, dirs, prjs, ptPrjDepths, ndir // halfspace | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | ); | ~ DKnn.cpp:64:18: note: ‘ptPrjDepths’ was declared here 64 | TDMatrix ptPrjDepths; if (depthType == 1) ptPrjDepths = newM(ndir, 1); | ^~~~~~~~~~~ DKnn.cpp:76:28: warning: ‘prjs’ may be used uninitialized [-Wmaybe-uninitialized] 76 | CountDepths(reflected, learnlabels, nlearn * 2, d, learnpoints, nlearn, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 77 | depthType, depths, tempDepths, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 78 | car, dirs, prjs, ptPrjDepths, ndir // halfspace | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | ); | ~ DKnn.cpp:63:18: note: ‘prjs’ was declared here 63 | TDMatrix prjs; if (depthType == 1) prjs = newM(ndir, nlearn * 2); | ^~~~ DKnn.cpp:76:28: warning: ‘dirs’ may be used uninitialized [-Wmaybe-uninitialized] 76 | CountDepths(reflected, learnlabels, nlearn * 2, d, learnpoints, nlearn, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 77 | depthType, depths, tempDepths, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 78 | car, dirs, prjs, ptPrjDepths, ndir // halfspace | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | ); | ~ DKnn.cpp:62:18: note: ‘dirs’ was declared here 62 | TDMatrix dirs; if (depthType == 1) dirs = newM(ndir, d); | ^~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c HD.cpp -o HD.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/aux_/na_assert.hpp:23, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/arg.hpp:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/placeholders.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/apply.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_optimization.hpp:18, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_wrapper.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array.hpp:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:22, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/vector.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/matrix.hpp:18, from stdafx.h:21, from HD.cpp:12: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses] 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/traits.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:27: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:111:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 111 | public std::iterator { | ^~~~~~~~ In file included from /usr/include/c++/14/bits/stl_algobase.h:65, from /usr/include/c++/14/algorithm:60, from stdafx.h:15: /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:149:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 149 | public std::iterator { | ^~~~~~~~ /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:204:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 204 | public std::iterator { | ^~~~~~~~ /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Knn.cpp -o Knn.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/aux_/na_assert.hpp:23, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/arg.hpp:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/placeholders.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/apply.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_optimization.hpp:18, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_wrapper.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array.hpp:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:22, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/vector.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/matrix.hpp:18, from stdafx.h:21, from Knn.cpp:10: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses] 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/traits.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:27: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:111:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 111 | public std::iterator { | ^~~~~~~~ In file included from /usr/include/c++/14/bits/stl_algobase.h:65, from /usr/include/c++/14/algorithm:60, from stdafx.h:15: /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:149:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 149 | public std::iterator { | ^~~~~~~~ /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:204:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 204 | public std::iterator { | ^~~~~~~~ /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c LensDepth.cpp -o LensDepth.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/aux_/na_assert.hpp:23, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/arg.hpp:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/placeholders.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/apply.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_optimization.hpp:18, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_wrapper.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array.hpp:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:22, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/vector.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/matrix.hpp:18, from stdafx.h:21, from LensDepth.cpp:15: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses] 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/traits.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:27: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:111:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 111 | public std::iterator { | ^~~~~~~~ In file included from /usr/include/c++/14/bits/stl_algobase.h:65, from /usr/include/c++/14/algorithm:60, from stdafx.h:15: /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:149:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 149 | public std::iterator { | ^~~~~~~~ /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:204:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 204 | public std::iterator { | ^~~~~~~~ /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Mahalanobis.cpp -o Mahalanobis.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/aux_/na_assert.hpp:23, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/arg.hpp:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/placeholders.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/apply.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_optimization.hpp:18, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_wrapper.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array.hpp:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:22, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/vector.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/matrix.hpp:18, from stdafx.h:21, from Mahalanobis.cpp:2: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses] 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/traits.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:27: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:111:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 111 | public std::iterator { | ^~~~~~~~ In file included from /usr/include/c++/14/bits/stl_algobase.h:65, from /usr/include/c++/14/algorithm:60, from stdafx.h:15: /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:149:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 149 | public std::iterator { | ^~~~~~~~ /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:204:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 204 | public std::iterator { | ^~~~~~~~ /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ Mahalanobis.cpp: In function ‘void MahalanobisDepth(TDMatrix, TDMatrix, int, int, int, double, double*)’: Mahalanobis.cpp:32:13: warning: unused variable ‘res’ [-Wunused-variable] 32 | int res = lu_factorize(A, pm); | ^~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c OjaDepth.cpp -o OjaDepth.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/aux_/na_assert.hpp:23, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/arg.hpp:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/placeholders.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/apply.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_optimization.hpp:18, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_wrapper.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array.hpp:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:22, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/vector.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/matrix.hpp:18, from stdafx.h:21, from OjaDepth.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses] 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/traits.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:27: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:111:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 111 | public std::iterator { | ^~~~~~~~ In file included from /usr/include/c++/14/bits/stl_algobase.h:65, from /usr/include/c++/14/algorithm:60, from stdafx.h:15: /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:149:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 149 | public std::iterator { | ^~~~~~~~ /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:204:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 204 | public std::iterator { | ^~~~~~~~ /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Polynomial.cpp -o Polynomial.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/aux_/na_assert.hpp:23, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/arg.hpp:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/placeholders.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/apply.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_optimization.hpp:18, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_wrapper.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array.hpp:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:22, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/vector.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/matrix.hpp:18, from stdafx.h:21, from Polynomial.cpp:14: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses] 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/traits.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:27: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:111:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 111 | public std::iterator { | ^~~~~~~~ In file included from /usr/include/c++/14/bits/stl_algobase.h:65, from /usr/include/c++/14/algorithm:60, from stdafx.h:15: /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:149:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 149 | public std::iterator { | ^~~~~~~~ /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:204:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 204 | public std::iterator { | ^~~~~~~~ /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ Polynomial.cpp: In function ‘TPoint PolynomialLearnCV(TDMatrix, int, int, int, int, int*, int*)’: Polynomial.cpp:396:25: warning: unused variable ‘tmp’ [-Wunused-variable] 396 | for (int i = 0, tmp; i < numPoints; i++){ input2[i][0] = input[i][1]; input2[i][1] = input[i][0]; } // swap columns | ^~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c PotentialDepth.cpp -o PotentialDepth.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/aux_/na_assert.hpp:23, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/arg.hpp:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/placeholders.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/apply.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_optimization.hpp:18, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_wrapper.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array.hpp:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:22, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/vector.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/matrix.hpp:18, from stdafx.h:21, from PotentialDepth.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses] 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/traits.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:27: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:111:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 111 | public std::iterator { | ^~~~~~~~ In file included from /usr/include/c++/14/bits/stl_algobase.h:65, from /usr/include/c++/14/algorithm:60, from stdafx.h:15: /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:149:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 149 | public std::iterator { | ^~~~~~~~ /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:204:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 204 | public std::iterator { | ^~~~~~~~ /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ PotentialDepth.cpp: In function ‘double EuclidianDistance(TPoint&, TPoint&)’: PotentialDepth.cpp:5:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 5 | for (int i = 0; i < x.size(); i++){ | ~~^~~~~~~~~~ PotentialDepth.cpp: In function ‘double EuclidianDistance2(TPoint&, TPoint&)’: PotentialDepth.cpp:13:26: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13 | for (int i = 0; i< x.size(); i++){ | ~^~~~~~~~~~ PotentialDepth.cpp: In function ‘void PotentialDepths(TMatrix&, TVariables&, TMatrix&, TMatrix&, double (*)(TPoint&, TPoint&, double), double, int)’: PotentialDepth.cpp:60:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (int i = 0; i < cardinalities.size(); classBeginning += cardinalities[i], i++){ | ~~^~~~~~~~~~~~~~~~~~~~~~ PotentialDepth.cpp:67:60: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘__gnu_cxx::__alloc_traits, int>::value_type’ {aka ‘int’} [-Wsign-compare] 67 | else if (classPointsDepths->size() < cardinalities[i]) PotentialDepth.cpp:76:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 76 | for (int p = 0; p < testpoints.size(); p++){ | ~~^~~~~~~~~~~~~~~~~~~ PotentialDepth.cpp:96:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 96 | for (int p = 0; p < testpoints.size(); p++){ | ~~^~~~~~~~~~~~~~~~~~~ PotentialDepth.cpp:65:25: warning: ‘classPointsDepths’ may be used uninitialized [-Wmaybe-uninitialized] 65 | if (!classPointsDepths) | ^~ PotentialDepth.cpp:56:17: note: ‘classPointsDepths’ was declared here 56 | TPoint* classPointsDepths; | ^~~~~~~~~~~~~~~~~ PotentialDepth.cpp:63:25: warning: ‘classPoints’ may be used uninitialized [-Wmaybe-uninitialized] 63 | if (classPoints) delete[] classPoints; | ^~ PotentialDepth.cpp:55:18: note: ‘classPoints’ was declared here 55 | TMatrix* classPoints; | ^~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c ProjectionDepth.cpp -o ProjectionDepth.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/aux_/na_assert.hpp:23, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/arg.hpp:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/placeholders.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/apply.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_optimization.hpp:18, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_wrapper.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array.hpp:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:22, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/vector.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/matrix.hpp:18, from stdafx.h:21, from ProjectionDepth.cpp:14: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses] 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/traits.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:27: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:111:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 111 | public std::iterator { | ^~~~~~~~ In file included from /usr/include/c++/14/bits/stl_algobase.h:65, from /usr/include/c++/14/algorithm:60, from stdafx.h:15: /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:149:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 149 | public std::iterator { | ^~~~~~~~ /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:204:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 204 | public std::iterator { | ^~~~~~~~ /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ ProjectionDepth.cpp:21:12: warning: ‘int CompareDec(OrderRec, OrderRec)’ defined but not used [-Wunused-function] 21 | static int CompareDec(OrderRec x, OrderRec y) | ^~~~~~~~~~ ProjectionDepth.cpp:16:12: warning: ‘int CompareAsc(OrderRec, OrderRec)’ defined but not used [-Wunused-function] 16 | static int CompareAsc(OrderRec x, OrderRec y) | ^~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c SimplicialDepth.cpp -o SimplicialDepth.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/aux_/na_assert.hpp:23, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/arg.hpp:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/placeholders.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/apply.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_optimization.hpp:18, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_wrapper.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array.hpp:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:22, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/vector.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/matrix.hpp:18, from stdafx.h:21, from SimplicialDepth.cpp:2: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses] 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/traits.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:27: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:111:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 111 | public std::iterator { | ^~~~~~~~ In file included from /usr/include/c++/14/bits/stl_algobase.h:65, from /usr/include/c++/14/algorithm:60, from stdafx.h:15: /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:149:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 149 | public std::iterator { | ^~~~~~~~ /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:204:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 204 | public std::iterator { | ^~~~~~~~ /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ SimplicialDepth.cpp: In function ‘void SimplicialDepthsEx(TDMatrix, TDMatrix, int, int, int, double*)’: SimplicialDepth.cpp:46:22: warning: unused variable ‘sc’ [-Wunused-variable] 46 | bool sc = numSimplicesChecked == div0; | ^~ SimplicialDepth.cpp: In function ‘long long unsigned int intSD2(double**, int)’: SimplicialDepth.cpp:153:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long long unsigned int’ [-Wsign-compare] 153 | for (int i = nh; i < nn; i++) { | ~~^~~~ SimplicialDepth.cpp:154:27: warning: comparison of integer expressions of different signedness: ‘long long unsigned int’ and ‘int’ [-Wsign-compare] 154 | while ((j <= nh - 1) && (alpha[j] + M_PI <= alpha[i] - eps)) j++; | ~~^~~~~~~~~ In file included from /usr/include/string.h:548, from /usr/include/c++/14/cstring:43, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/core/bit.hpp:22, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/integer/integer_log2.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/random/detail/integer_log2.hpp:19, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/random/detail/large_arithmetic.hpp:19, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/random/detail/const_mod.hpp:23, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/random/linear_congruential.hpp:28, from stdafx.h:24: In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void SimplicialDepthsEx(TDMatrix, TDMatrix, int, int, int, double*)’ at SimplicialDepth.cpp:36:10: /usr/include/x86_64-linux-gnu/bits/string_fortified.h:29:33: warning: ‘void* __builtin___memcpy_chk(void*, const void*, long unsigned int, long unsigned int)’ specified bound 18446744073709551608 exceeds maximum object size 9223372036854775807 [-Wstringop-overflow=] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void SimplicialDepthsApx(TDMatrix, TDMatrix, int, int, int, long long unsigned int, double*)’ at SimplicialDepth.cpp:98:9: /usr/include/x86_64-linux-gnu/bits/string_fortified.h:29:33: warning: ‘void* __builtin___memcpy_chk(void*, const void*, long unsigned int, long unsigned int)’ specified bound 18446744073709551608 exceeds maximum object size 9223372036854775807 [-Wstringop-overflow=] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c TukeyDepth.cpp -o TukeyDepth.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/aux_/na_assert.hpp:23, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/arg.hpp:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/placeholders.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/apply.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_optimization.hpp:18, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_wrapper.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array.hpp:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:22, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/vector.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/matrix.hpp:18, from stdafx.h:21, from TukeyDepth.cpp:14: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses] 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/traits.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:27: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:111:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 111 | public std::iterator { | ^~~~~~~~ In file included from /usr/include/c++/14/bits/stl_algobase.h:65, from /usr/include/c++/14/algorithm:60, from stdafx.h:15: /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:149:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 149 | public std::iterator { | ^~~~~~~~ /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:204:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 204 | public std::iterator { | ^~~~~~~~ /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c ZonoidDepth.cpp -o ZonoidDepth.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/aux_/na_assert.hpp:23, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/arg.hpp:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/placeholders.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/apply.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_optimization.hpp:18, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_wrapper.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array.hpp:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:22, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/vector.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/matrix.hpp:18, from stdafx.h:21, from ZonoidDepth.cpp:15: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses] 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/traits.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:27: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:111:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 111 | public std::iterator { | ^~~~~~~~ In file included from /usr/include/c++/14/bits/stl_algobase.h:65, from /usr/include/c++/14/algorithm:60, from stdafx.h:15: /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:149:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 149 | public std::iterator { | ^~~~~~~~ /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:204:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 204 | public std::iterator { | ^~~~~~~~ /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ ZonoidDepth.cpp: In function ‘double ZonoidDepth(std::vector >&, TPoint&, int&)’: ZonoidDepth.cpp:403:21: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 403 | if (x_sort.size() == n) { /* Allocation successful. */ | ~~~~~~~~~~~~~~^~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c asa047.cpp -o asa047.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c ddalpha.cpp -o ddalpha.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/aux_/na_assert.hpp:23, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/arg.hpp:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/placeholders.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/apply.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_optimization.hpp:18, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_wrapper.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array.hpp:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:22, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/vector.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/matrix.hpp:18, from stdafx.h:21, from ddalpha.cpp:14: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses] 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/traits.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:27: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:111:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 111 | public std::iterator { | ^~~~~~~~ In file included from /usr/include/c++/14/bits/stl_algobase.h:65, from /usr/include/c++/14/algorithm:60, from stdafx.h:15: /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:149:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 149 | public std::iterator { | ^~~~~~~~ /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:204:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 204 | public std::iterator { | ^~~~~~~~ /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ ddalpha.cpp: In function ‘void AlphaLearn(double*, int*, int*, int*, int*, int*, double*)’: ddalpha.cpp:295:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 295 | for (int i = 0; i < direction.size(); i++){ | ~~^~~~~~~~~~~~~~~~~~ ddalpha.cpp: In function ‘void AlphaLearnCV(double*, int*, int*, int*, int*, int*, int*, int*, double*)’: ddalpha.cpp:314:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 314 | for (int i = 0; i < direction.size(); i++){ | ~~^~~~~~~~~~~~~~~~~~ ddalpha.cpp: In function ‘void AlphaClassify(double*, int*, int*, int*, double*, int*)’: ddalpha.cpp:330:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 330 | for (int i = 0; i < _x[0].size(); i++){ | ~~^~~~~~~~~~~~~~ gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c depth.fd.f -o depth.fd.o depth.fd.f:119:28: 119 | integer I,J,K,OM(NR),L | 1 Warning: Unused variable ‘l’ declared at (1) [-Wunused-variable] depth.fd.f:119:26: 119 | integer I,J,K,OM(NR),L | 1 Warning: Unused variable ‘om’ declared at (1) [-Wunused-variable] depth.fd.f:1169:25: 1169 | INTEGER hF(N),I,J,K | 1 Warning: Unused variable ‘k’ declared at (1) [-Wunused-variable] depth.fd.f:1203:25: 1203 | INTEGER hF(N),I,J,K | 1 Warning: Unused variable ‘k’ declared at (1) [-Wunused-variable] depth.fd.f:241:24: 241 | INTEGER FUNCTION K(M,J) | ^ Warning: ‘__result_k’ may be used uninitialized [-Wmaybe-uninitialized] gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c stdafx.cpp -o stdafx.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/aux_/na_assert.hpp:23, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/arg.hpp:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/placeholders.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/apply.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_optimization.hpp:18, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_wrapper.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array.hpp:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:22, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/vector.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/matrix.hpp:18, from stdafx.h:21, from stdafx.cpp:5: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses] 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/traits.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:27: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:111:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 111 | public std::iterator { | ^~~~~~~~ In file included from /usr/include/c++/14/bits/stl_algobase.h:65, from /usr/include/c++/14/algorithm:60, from stdafx.h:15: /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:149:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 149 | public std::iterator { | ^~~~~~~~ /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:204:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 204 | public std::iterator { | ^~~~~~~~ /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o ddalpha.so AlphaProcedure.o BandDepth.o Common.o DKnn.o HD.o Knn.o LensDepth.o Mahalanobis.o OjaDepth.o Polynomial.o PotentialDepth.o ProjectionDepth.o SimplicialDepth.o TukeyDepth.o ZonoidDepth.o asa047.o ddalpha.o depth.fd.o init.o stdafx.o -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpmbx2GM/R.INSTALL3665241bd659ad/ddalpha/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-ddalpha/00new/ddalpha/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ddalpha) begin installing package ‘ari’ * installing *source* package ‘dockerfiler’ ... ** package ‘dockerfiler’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (dockerfiler) begin installing package ‘rpyANTs’ * installing *source* package ‘EpiEstim’ ... ** package ‘EpiEstim’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (EpiEstim) begin installing package ‘modeltime’ * installing *source* package ‘RcppCWB’ ... ** package ‘RcppCWB’ successfully unpacked and MD5 sums checked ** using staged installation * operating system detected for CWB configuration: Linux * Linux distribution ID: debian (supported) * architecture: x86_64 ... using config 'linux-64' * using CWB platform configuration file: linux-64 * adapt CWB configuration file to use compiler: gcc-14 * using pkg-config to check whether glib-2.0 is available ... yes * using pkg-config to get linker flags for glib-2.0: -lglib-2.0 * check whether pcre2 is available ... yes (version: 10.42) * checking whether pcre2test is available ... no * using pcre2-config to get libdirs for pcre2 (8bit): -lpcre2-8 * using pcre2-config to get cflags for pcre2: * using build directory: /home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb/cqp -I/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb/cl -I/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb/CQi -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb/cqp -I/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb/cl -I/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb/CQi -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c addons.cpp -o addons.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb/cqp -I/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb/cl -I/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb/CQi -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c cl.cpp -o cl.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb/cqp -I/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb/cl -I/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb/CQi -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c cqp.cpp -o cqp.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb/cqp -I/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb/cl -I/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb/CQi -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c utils.cpp -o utils.o cd cwb; R_PACKAGE_SOURCE=/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb PKG_CONFIG_PATH= make clean make[2]: Entering directory '/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb' for i in cl cqp ; do if [ -f "$i/Makefile" ]; then cd $i; make clean; cd ..; fi; done; make[3]: Entering directory '/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb/cl' rm -f *.o libcl.a registry.output *~ make[3]: Leaving directory '/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb/cl' make[3]: Entering directory '/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb/cqp' rm -f cqp cqpcl cqpserver *.o ../CQi/*.o parser.output *~ ../CQi/*~ # TODO what is "parser.output" ? make[3]: Leaving directory '/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb/cqp' rm -f *~ config/*/*~ CQi/*~ CQi/*.o technical/*~ TAGS rm -f -rf build make[2]: Leaving directory '/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb' cd cwb; R_PACKAGE_SOURCE=/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb PKG_CONFIG_PATH= make depend make[2]: Entering directory '/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb' for i in cl cqp ; do cd $i; make depend.mk; cd ..; done; make[3]: Entering directory '/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb/cl' make[3]: 'depend.mk' is up to date. make[3]: Leaving directory '/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb/cl' make[3]: Entering directory '/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb/cqp' make[3]: 'depend.mk' is up to date. make[3]: Leaving directory '/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb/cqp' make[2]: Leaving directory '/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb' cd cwb; R_PACKAGE_SOURCE=/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb PKG_CONFIG_PATH= make cl make[2]: Entering directory '/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb' --------------------------------- BUILDING CORPUS LIBRARY (CL) cd cl; make make[3]: Entering directory '/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb/cl' gcc-14 -c -o globals.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:14 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread globals.c gcc-14 -c -o macros.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:14 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread macros.c gcc-14 -c -o ui-helpers.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:14 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread ui-helpers.c gcc-14 -c -o list.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:14 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread list.c gcc-14 -c -o lexhash.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:14 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread lexhash.c gcc-14 -c -o ngram-hash.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:15 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread ngram-hash.c gcc-14 -c -o bitfields.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:15 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread bitfields.c gcc-14 -c -o storage.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:15 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread storage.c gcc-14 -c -o fileutils.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:15 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread fileutils.c gcc-14 -c -o special-chars.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:16 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread special-chars.c gcc-14 -c -o regopt.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:16 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread regopt.c gcc-14 -c -o corpus.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:16 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread corpus.c gcc-14 -c -o attributes.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:17 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread attributes.c gcc-14 -c -o makecomps.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:17 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread makecomps.c gcc-14 -c -o registry.tab.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:17 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread registry.tab.c gcc-14 -c -o lex.creg.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:18 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread lex.creg.c gcc-14 -c -o cdaccess.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:18 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread cdaccess.c gcc-14 -c -o bitio.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:19 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread bitio.c gcc-14 -c -o endian.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:19 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread endian.c gcc-14 -c -o compression.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:19 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread compression.c rm -f libcl.a ar cqs libcl.a globals.o macros.o ui-helpers.o list.o lexhash.o ngram-hash.o bitfields.o storage.o fileutils.o special-chars.o regopt.o corpus.o attributes.o makecomps.o registry.tab.o lex.creg.o cdaccess.o bitio.o endian.o compression.o gcc-14 -c -o dl_stub.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:19 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread dl_stub.c make[3]: Leaving directory '/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb/cl' make[2]: Leaving directory '/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb' cd cwb; R_PACKAGE_SOURCE=/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb PKG_CONFIG_PATH= make cqp make[2]: Entering directory '/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb' --------------------------------- BUILDING CQP cd cqp; make make[3]: Entering directory '/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb/cqp' gcc-14 -c -o cqp.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:19 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread cqp.c gcc-14 -c -o symtab.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:19 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread symtab.c gcc-14 -c -o eval.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:20 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread eval.c gcc-14 -c -o tree.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:21 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread tree.c gcc-14 -c -o options.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:22 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread options.c gcc-14 -c -o corpmanag.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:22 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread corpmanag.c gcc-14 -c -o regex2dfa.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:22 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread regex2dfa.c gcc-14 -c -o output.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:23 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread output.c gcc-14 -c -o ranges.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:23 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread ranges.c gcc-14 -c -o builtins.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:24 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread builtins.c gcc-14 -c -o groups.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:24 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread groups.c gcc-14 -c -o targets.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:24 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread targets.c gcc-14 -c -o matchlist.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:25 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread matchlist.c gcc-14 -c -o concordance.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:25 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread concordance.c gcc-14 -c -o parse_actions.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:25 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread parse_actions.c gcc-14 -c -o attlist.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:27 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread attlist.c gcc-14 -c -o context_descriptor.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:27 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread context_descriptor.c gcc-14 -c -o print-modes.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:27 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread print-modes.c gcc-14 -c -o ascii-print.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:27 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread ascii-print.c gcc-14 -c -o sgml-print.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:27 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread sgml-print.c gcc-14 -c -o html-print.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:28 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread html-print.c gcc-14 -c -o latex-print.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:28 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread latex-print.c gcc-14 -c -o variables.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:28 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread variables.c gcc-14 -c -o print_align.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:28 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread print_align.c gcc-14 -c -o macro.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:28 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread macro.c gcc-14 -c -o parser.tab.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:29 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread parser.tab.c gcc-14 -c -o lex.yy.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:30 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread lex.yy.c gcc-14 -c -o ../CQi/server.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:30 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread ../CQi/server.c gcc-14 -c -o ../CQi/auth.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:31 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread ../CQi/auth.c gcc-14 -c -o ../CQi/log.o -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:31 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread ../CQi/log.c rm -f libcqp.a ar cqs libcqp.a cqp.o symtab.o eval.o tree.o options.o corpmanag.o regex2dfa.o output.o ranges.o builtins.o groups.o targets.o matchlist.o concordance.o parse_actions.o attlist.o context_descriptor.o print-modes.o ascii-print.o sgml-print.o html-print.o latex-print.o variables.o print_align.o macro.o parser.tab.o lex.yy.o ../CQi/server.o ../CQi/auth.o ../CQi/log.o make[3]: Leaving directory '/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb/cqp' make[2]: Leaving directory '/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb' cd cwb; R_PACKAGE_SOURCE=/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb PKG_CONFIG_PATH= make utils make[2]: Entering directory '/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb' --------------------------------- BUILDING UTILITIES cd utils; make make[3]: Entering directory '/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb/utils' gcc-14 -c -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:31 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread -o cwb-encode.o cwb-encode.c gcc-14 -c -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:32 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread -o cwb-makeall.o cwb-makeall.c gcc-14 -c -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:33 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread -o cwb-huffcode.o cwb-huffcode.c gcc-14 -c -O2 -Wall -fPIC -fPIC -m64 -DUSE_TERMCAP -DUSE_READLINE -DCOMPILE_DATE=\""Mon Oct 28 23:41:34 CET 2024"\" -DCWB_VERSION=\"3.4.33\" -I/usr/include/glib-2.0 -I/usr/lib/x86_64-linux-gnu/glib-2.0/include -I/usr/include/sysprof-6 -pthread -o cwb-compress-rdx.o cwb-compress-rdx.c --------------------------------- CREATING ARCHIVE rm -f libcwb.a ar cqs libcwb.a cwb-encode.o cwb-makeall.o cwb-huffcode.o cwb-compress-rdx.o make[3]: Leaving directory '/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb/utils' make[2]: Leaving directory '/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb' g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o RcppCWB.so RcppExports.o addons.o cl.o cqp.o utils.o -L/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb/cl -L/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb/cqp -L/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src/cwb/utils -lcwb -lcqp -lcl -lglib-2.0 -lpcre2-8 -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpvW2hZF/R.INSTALL3680201611c673/RcppCWB/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-RcppCWB/00new/RcppCWB/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (RcppCWB) * installing *source* package ‘rhino’ ... ** package ‘rhino’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rhino) * installing *source* package ‘languageserver’ ... ** package ‘languageserver’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp545wbO/R.INSTALL3694f0449e908a/languageserver/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c fsm.c -o fsm.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c languageserver.c -o languageserver.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c reader.c -o reader.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c search.c -o search.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c stack.c -o stack.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o languageserver.so fsm.o languageserver.o reader.o search.o stack.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp545wbO/R.INSTALL3694f0449e908a/languageserver/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-languageserver/00new/languageserver/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (languageserver) * installing *source* package ‘ari’ ... ** package ‘ari’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ari) * installing *source* package ‘papaja’ ... ** package ‘papaja’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (papaja) * installing *source* package ‘rpyANTs’ ... ** package ‘rpyANTs’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rpyANTs) * installing *source* package ‘SpaDES.tools’ ... ** package ‘SpaDES.tools’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpIfWN6I/R.INSTALL368b1e68dd0368/SpaDES.tools/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c duplicated.cpp -o duplicated.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c runif.cpp -o runif.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o SpaDES.tools.so RcppExports.o duplicated.o runif.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpIfWN6I/R.INSTALL368b1e68dd0368/SpaDES.tools/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-SpaDES.tools/00new/SpaDES.tools/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (SpaDES.tools) * installing *source* package ‘macleish’ ... ** package ‘macleish’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (macleish) * installing *source* package ‘nanoparquet’ ... ** package ‘nanoparquet’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp7hDqco/R.INSTALL365a8f20f968de/nanoparquet/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c rwrapper.cpp -o rwrapper.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c protect.cpp -o protect.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c read.cpp -o read.o In file included from lib/nanoparquet.h:8, from read.cpp:4: lib/bytebuffer.h: In member function ‘virtual std::streamsize ByteBuffer::xsputn(const char*, std::streamsize)’: lib/bytebuffer.h:34:15: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘std::streamsize’ {aka ‘long int’} [-Wsign-compare] 34 | if (space < n) { | ~~~~~~^~~ read.cpp: In function ‘SEXPREC* nanoparquet_read(SEXP)’: read.cpp:59:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 59 | for (auto i = 0; i < ncols; i++) { | ~~^~~~~~~ read.cpp:228:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 228 | for (auto i = 0; i < strings.size(); i++) { | ~~^~~~~~~~~~~~~~~~ read.cpp:324:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 324 | for (auto i = 0; i < type_len; i++) { | ~~^~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c write.cpp -o write.o In file included from lib/nanoparquet.h:8, from write.cpp:1: lib/bytebuffer.h: In member function ‘virtual std::streamsize ByteBuffer::xsputn(const char*, std::streamsize)’: lib/bytebuffer.h:34:15: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘std::streamsize’ {aka ‘long int’} [-Wsign-compare] 34 | if (space < n) { | ~~~~~~^~~ In file included from write.cpp:6: lib/memstream.h: In member function ‘virtual std::streamsize MemStream::xsputn(const char*, std::streamsize)’: lib/memstream.h:37:13: warning: comparison of integer expressions of different signedness: ‘std::streamsize’ {aka ‘long int’} and ‘uint64_t’ {aka ‘long unsigned int’} [-Wsign-compare] 37 | if (n > space) { | ~~^~~~~~~ write.cpp: In member function ‘virtual void RParquetOutFile::write_int32(std::ostream&, uint32_t, uint64_t, uint64_t)’: write.cpp:154:13: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 154 | if (until > Rf_xlength(col)) { | ~~~~~~^~~~~~~~~~~~~~~~~ write.cpp: In member function ‘virtual void RParquetOutFile::write_int64(std::ostream&, uint32_t, uint64_t, uint64_t)’: write.cpp:165:13: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 165 | if (until > Rf_xlength(col)) { | ~~~~~~^~~~~~~~~~~~~~~~~ write.cpp: In member function ‘virtual void RParquetOutFile::write_double(std::ostream&, uint32_t, uint64_t, uint64_t)’: write.cpp:193:13: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 193 | if (until > Rf_xlength(col)) { | ~~~~~~^~~~~~~~~~~~~~~~~ write.cpp: In member function ‘virtual void RParquetOutFile::write_byte_array(std::ostream&, uint32_t, uint64_t, uint64_t)’: write.cpp:203:13: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 203 | if (until > Rf_xlength(col)) { | ~~~~~~^~~~~~~~~~~~~~~~~ write.cpp: In member function ‘virtual uint32_t RParquetOutFile::get_size_byte_array(uint32_t, uint32_t, uint64_t, uint64_t)’: write.cpp:221:13: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 221 | if (until > Rf_xlength(col)) { | ~~~~~~^~~~~~~~~~~~~~~~~ write.cpp: In function ‘void write_boolean_impl(std::ostream&, SEXP, uint64_t, uint64_t)’: write.cpp:237:13: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 237 | if (until > Rf_xlength(col)) { | ~~~~~~^~~~~~~~~~~~~~~~~ write.cpp: In member function ‘virtual void RParquetOutFile::write_boolean_as_int(std::ostream&, uint32_t, uint64_t, uint64_t)’: write.cpp:275:13: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 275 | if (until > Rf_xlength(col)) { | ~~~~~~^~~~~~~~~~~~~~~~~ write.cpp: In member function ‘virtual uint32_t RParquetOutFile::write_present(std::ostream&, uint32_t, uint64_t, uint64_t)’: write.cpp:285:13: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 285 | if (until > Rf_xlength(col)) { | ~~~~~~^~~~~~~~~~~~~~~~~ write.cpp: In member function ‘virtual void RParquetOutFile::write_present_int32(std::ostream&, uint32_t, uint32_t, uint64_t, uint64_t)’: write.cpp:344:13: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 344 | if (until > Rf_xlength(col)) { | ~~~~~~^~~~~~~~~~~~~~~~~ write.cpp: In member function ‘virtual void RParquetOutFile::write_present_int64(std::ostream&, uint32_t, uint32_t, uint64_t, uint64_t)’: write.cpp:363:13: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 363 | if (until > Rf_xlength(col)) { | ~~~~~~^~~~~~~~~~~~~~~~~ write.cpp: In member function ‘virtual void RParquetOutFile::write_present_double(std::ostream&, uint32_t, uint32_t, uint64_t, uint64_t)’: write.cpp:400:13: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 400 | if (until > Rf_xlength(col)) { | ~~~~~~^~~~~~~~~~~~~~~~~ write.cpp: In member function ‘virtual void RParquetOutFile::write_present_boolean_as_int(std::ostream&, uint32_t, uint32_t, uint64_t, uint64_t)’: write.cpp:417:13: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 417 | if (until > Rf_xlength(col)) { | ~~~~~~^~~~~~~~~~~~~~~~~ write.cpp: In member function ‘virtual void RParquetOutFile::write_present_byte_array(std::ostream&, uint32_t, uint32_t, uint64_t, uint64_t)’: write.cpp:437:13: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 437 | if (until > Rf_xlength(col)) { | ~~~~~~^~~~~~~~~~~~~~~~~ write.cpp: In member function ‘virtual void RParquetOutFile::write_present_boolean(std::ostream&, uint32_t, uint32_t, uint64_t, uint64_t)’: write.cpp:461:13: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 461 | if (until > Rf_xlength(col)) { | ~~~~~~^~~~~~~~~~~~~~~~~ write.cpp: In member function ‘virtual void RParquetOutFile::write_dictionary(std::ostream&, uint32_t)’: write.cpp:600:28: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 600 | for (uint64_t i = 0; i < len; i++) { | ~~^~~~~ write.cpp: In member function ‘virtual void RParquetOutFile::write_dictionary_indices(std::ostream&, uint32_t, uint64_t, uint64_t)’: write.cpp:634:13: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 634 | if (until > Rf_xlength(col)) { | ~~~~~~^~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c read-metadata.cpp -o read-metadata.o In file included from lib/nanoparquet.h:8, from read-metadata.cpp:1: lib/bytebuffer.h: In member function ‘virtual std::streamsize ByteBuffer::xsputn(const char*, std::streamsize)’: lib/bytebuffer.h:34:15: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘std::streamsize’ {aka ‘long int’} [-Wsign-compare] 34 | if (space < n) { | ~~~~~~^~~ read-metadata.cpp: In function ‘SEXPREC* convert_key_value_metadata(const parquet::FileMetaData&)’: read-metadata.cpp:140:28: warning: comparison of integer expressions of different signedness: ‘R_xlen_t’ {aka ‘long int’} and ‘long unsigned int’ [-Wsign-compare] 140 | for (R_xlen_t i = 0; i < kvsize; i++) { | ~~^~~~~~~~ read-metadata.cpp: In function ‘SEXPREC* convert_row_groups(const char*, std::vector&)’: read-metadata.cpp:254:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 254 | for (auto i = 0; i < nrgs; i++) { | ~~^~~~~~ read-metadata.cpp: In function ‘SEXPREC* convert_column_chunks(const char*, std::vector&)’: read-metadata.cpp:304:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 304 | for (auto i = 0; i < rgs.size(); i++) { | ~~^~~~~~~~~~~~ read-metadata.cpp:332:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 332 | for (int i = 0; i < rgs.size(); i++) { | ~~^~~~~~~~~~~~ read-metadata.cpp:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 333 | for (int j = 0; j < rgs[i].columns.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~ read-metadata.cpp:352:26: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 352 | for (auto k = 0; k < cmd.encodings.size(); k++) { | ~~^~~~~~~~~~~~~~~~~~~~~~ read-metadata.cpp:356:26: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 356 | for (auto k = 0; k < cmd.path_in_schema.size(); k++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c read-pages.cpp -o read-pages.o In file included from lib/nanoparquet.h:8, from read-pages.cpp:1: lib/bytebuffer.h: In member function ‘virtual std::streamsize ByteBuffer::xsputn(const char*, std::streamsize)’: lib/bytebuffer.h:34:15: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘std::streamsize’ {aka ‘long int’} [-Wsign-compare] 34 | if (space < n) { | ~~~~~~^~~ read-pages.cpp: In function ‘SEXPREC* nanoparquet_read_pages(SEXP)’: read-pages.cpp:24:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 24 | for (auto i = 0; i < rgs.size(); i++) { | ~~^~~~~~~~~~~~ read-pages.cpp:25:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 25 | for (auto j = 0; j < rgs[i].columns.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~ read-pages.cpp:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < rgs.size(); i++) { | ~~^~~~~~~~~~~~ read-pages.cpp:99:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 99 | for (auto j = 0; j < rgs[i].columns.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~ read-pages.cpp: In function ‘PageData find_page(nanoparquet::ParquetFile&, int64_t)’: read-pages.cpp:210:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 210 | for (auto i = 0; i < rgs.size(); i++) { | ~~^~~~~~~~~~~~ read-pages.cpp:211:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 211 | for (auto j = 0; j < rgs[i].columns.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~ read-pages.cpp: In function ‘SEXPREC* nanoparquet_read_page(SEXP, SEXP)’: read-pages.cpp:303:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 303 | for (int i = 0; i < schema.size(); i++) { | ~~^~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c arrow-schema.cpp -o arrow-schema.o In file included from arrow-schema.cpp:7: lib/bytebuffer.h: In member function ‘virtual std::streamsize ByteBuffer::xsputn(const char*, std::streamsize)’: lib/bytebuffer.h:34:15: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘std::streamsize’ {aka ‘long int’} [-Wsign-compare] 34 | if (space < n) { | ~~~~~~^~~ arrow-schema.cpp: In function ‘SEXPREC* nanoparquet_parse_arrow_schema_impl(uint8_t*, uint32_t)’: arrow-schema.cpp:80:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 80 | for (auto i = 0; i < sch->fields.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ arrow-schema.cpp:187:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 187 | for (auto j = 0; j < ft->typeIds.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ arrow-schema.cpp:262:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 262 | for (auto j = 0; j < kvlen; j++) { | ~~^~~~~~~ arrow-schema.cpp:280:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 280 | for (auto i = 0; i < sch->custom_metadata.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ arrow-schema.cpp:294:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 294 | for (auto i = 0; i < sch->features.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~ arrow-schema.cpp: In function ‘SEXPREC* nanoparquet_encode_arrow_schema(SEXP)’: arrow-schema.cpp:379:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 379 | for (auto i = 0; i < nfields; i++) { | ~~^~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c base64.cpp -o base64.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c r-base64.cpp -o r-base64.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c snappy.cpp -o snappy.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c encodings.cpp -o encodings.o In file included from lib/nanoparquet.h:8, from lib/RleBpDecoder.h:5, from encodings.cpp:1: lib/bytebuffer.h: In member function ‘virtual std::streamsize ByteBuffer::xsputn(const char*, std::streamsize)’: lib/bytebuffer.h:34:15: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘std::streamsize’ {aka ‘long int’} [-Wsign-compare] 34 | if (space < n) { | ~~~~~~^~~ lib/RleBpDecoder.h: In instantiation of ‘int RleBpDecoder::GetBatch(T*, int) [with T = unsigned int]’: encodings.cpp:30:19: required from here 30 | decoder.GetBatch((uint32_t *)INTEGER(res), num_values); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ lib/RleBpDecoder.h:30:24: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 30 | while (values_read < batch_size) { | ~~~~~~~~~~~~^~~~~~~~~~~~ In file included from encodings.cpp:2: lib/RleBpEncoder.h: In instantiation of ‘uint32_t RleBpEncode(const T*, uint32_t, uint8_t, uint8_t*, uint32_t) [with T = int; uint32_t = unsigned int; uint8_t = unsigned char]’: encodings.cpp:46:26: required from here 46 | size_t rs = RleBpEncode(input, input_len, bw, output, os); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ lib/RleBpEncoder.h:40:16: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 40 | if (reps >= min_reps) { | ~~~~~^~~~~~~~~~~ In file included from encodings.cpp:3: lib/DbpDecoder.h: In instantiation of ‘uint8_t* DbpDecoder::decode(T*) [with T = int; Tunsigned = unsigned int; uint8_t = unsigned char]’: encodings.cpp:64:13: required from here 64 | dbp.decode(INTEGER(res)); | ~~~~~~~~~~^~~~~~~~~~~~~~ lib/DbpDecoder.h:68:38: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; todo > 0 && i < mini_blocks_per_block; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~ lib/DbpDecoder.h:84:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint64_t’ {aka ‘long unsigned int’} [-Wsign-compare] 84 | for (auto i = 0; i < mb_vals; i++) { | ~~^~~~~~~~~ lib/DbpDecoder.h: In instantiation of ‘uint8_t* DbpDecoder::decode(T*) [with T = long int; Tunsigned = long unsigned int; uint8_t = unsigned char]’: encodings.cpp:82:13: required from here 82 | dbp.decode((int64_t*) REAL(res)); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ lib/DbpDecoder.h:68:38: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; todo > 0 && i < mini_blocks_per_block; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~ lib/DbpDecoder.h:84:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint64_t’ {aka ‘long unsigned int’} [-Wsign-compare] 84 | for (auto i = 0; i < mb_vals; i++) { | ~~^~~~~~~~~ In file included from lib/DbpDecoder.h:6: lib/decode-utils.h: In instantiation of ‘void unpack_bits(uint8_t*, uint64_t, uint8_t, T*, uint64_t) [with T = unsigned int; uint8_t = unsigned char; uint64_t = long unsigned int]’: encodings.cpp:100:24: required from here 100 | unpack_bits( | ~~~~~~~~~~~~~~~~~~~~~^ 101 | RAW(x), | ~~~~~~~ 102 | Rf_xlength(x), | ~~~~~~~~~~~~~~ 103 | INTEGER(bit_width)[0], | ~~~~~~~~~~~~~~~~~~~~~~ 104 | (uint32_t*) INTEGER(res), | ~~~~~~~~~~~~~~~~~~~~~~~~~ 105 | cn | ~~ 106 | ); | ~ lib/decode-utils.h:58:21: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 58 | while (num_values > output_group_size) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ lib/decode-utils.h: In instantiation of ‘void unpack_bits(uint8_t*, uint64_t, uint8_t, T*, uint64_t) [with T = long unsigned int; uint8_t = unsigned char; uint64_t = long unsigned int]’: lib/DbpDecoder.h:77:31: required from ‘uint8_t* DbpDecoder::decode(T*) [with T = long int; Tunsigned = long unsigned int; uint8_t = unsigned char]’ 77 | unpack_bits( | ~~~~~~~~~~~~~~~~~~~~~~^ 78 | buf->start, | ~~~~~~~~~~~ 79 | mb_len, | ~~~~~~~ 80 | bw, | ~~~ 81 | (Tunsigned*) values, | ~~~~~~~~~~~~~~~~~~~~ 82 | mb_vals | ~~~~~~~ 83 | ); | ~ encodings.cpp:82:13: required from here 82 | dbp.decode((int64_t*) REAL(res)); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ lib/decode-utils.h:58:21: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 58 | while (num_values > output_group_size) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c dictionary-encoding.cpp -o dictionary-encoding.o dictionary-encoding.cpp: In function ‘SEXPREC* nanoparquet_avg_run_length(SEXP, SEXP)’: dictionary-encoding.cpp:220:11: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 220 | if (len == -1) { | ~~~~^~~~~ dictionary-encoding.cpp:230:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 230 | for (auto i = 0; i < len; i++, xx++) { | ~~^~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c test.cpp -o test.o In file included from test.cpp:2: lib/memstream.h: In member function ‘virtual std::streamsize MemStream::xsputn(const char*, std::streamsize)’: lib/memstream.h:37:13: warning: comparison of integer expressions of different signedness: ‘std::streamsize’ {aka ‘long int’} and ‘uint64_t’ {aka ‘long unsigned int’} [-Wsign-compare] 37 | if (n > space) { | ~~^~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c lib/ParquetFile.cpp -o lib/ParquetFile.o In file included from lib/nanoparquet.h:8, from lib/ParquetFile.cpp:14: lib/bytebuffer.h: In member function ‘virtual std::streamsize ByteBuffer::xsputn(const char*, std::streamsize)’: lib/bytebuffer.h:34:15: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘std::streamsize’ {aka ‘long int’} [-Wsign-compare] 34 | if (space < n) { | ~~~~~~^~~ lib/ParquetFile.cpp: In member function ‘void nanoparquet::ParquetFile::read_checks()’: lib/ParquetFile.cpp:139:45: warning: comparison of integer expressions of different signedness: ‘int32_t’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 139 | if (file_meta_data.schema[0].num_children != lib/ParquetFile.cpp: In member function ‘void ColumnScan::scan_dict_page(nanoparquet::ResultColumn&)’: lib/ParquetFile.cpp:268:49: warning: comparison of integer expressions of different signedness: ‘int32_t’ {aka ‘int’} and ‘uint64_t’ {aka ‘long unsigned int’} [-Wsign-compare] 268 | for (int32_t dict_index = 0; dict_index < dict_size; dict_index++) { | ~~~~~~~~~~~^~~~~~~~~~~ lib/ParquetFile.cpp: In member function ‘void ColumnScan::scan_data_page_dict(nanoparquet::ResultColumn&)’: lib/ParquetFile.cpp:564:30: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 564 | for (uint32_t i = 0; i < num_values; i++) { | ~~^~~~~~~~~~~~ lib/ParquetFile.cpp: In member function ‘void ColumnScan::scan_data_page_rle(nanoparquet::ResultColumn&)’: lib/ParquetFile.cpp:641:28: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 641 | for (uint32_t i = 0; i < num_values; i++) { | ~~^~~~~~~~~~~~ lib/ParquetFile.cpp:655:20: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 655 | val_offset < num_values; | ~~~~~~~~~~~^~~~~~~~~~~~ lib/ParquetFile.cpp: In member function ‘void ColumnScan::scan_data_page_delta_binary_packed(nanoparquet::ResultColumn&)’: lib/ParquetFile.cpp:680:37: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 680 | for (uint32_t i = 0, j = 0; i < num_values; i++) { | ~~^~~~~~~~~~~~ lib/ParquetFile.cpp:695:37: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 695 | for (uint32_t i = 0, j = 0; i < num_values; i++) { | ~~^~~~~~~~~~~~ lib/ParquetFile.cpp: In member function ‘void ColumnScan::scan_data_page_delta_length_byte_array(nanoparquet::ResultColumn&)’: lib/ParquetFile.cpp:735:35: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 735 | for (uint32_t i = 0, j = 0; i < num_values; i++) { | ~~^~~~~~~~~~~~ lib/ParquetFile.cpp: In member function ‘void ColumnScan::scan_data_page_delta_byte_array(nanoparquet::ResultColumn&)’: lib/ParquetFile.cpp:781:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 781 | for (auto i = 0; i < num_non_null_values; i++) shc_len += pre_lengths[i]; | ~~^~~~~~~~~~~~~~~~~~~~~ lib/ParquetFile.cpp:782:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 782 | for (auto i = 0; i < num_non_null_values; i++) shc_len += suf_lengths[i]; | ~~^~~~~~~~~~~~~~~~~~~~~ lib/ParquetFile.cpp:790:35: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 790 | for (uint32_t i = 0, j = 0; i < num_values; i++) { | ~~^~~~~~~~~~~~ lib/ParquetFile.cpp: In member function ‘void ColumnScan::scan_data_page_byte_stream_split(nanoparquet::ResultColumn&)’: lib/ParquetFile.cpp:881:30: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 881 | for (uint32_t i = 0; i < num_values; i++) { | ~~^~~~~~~~~~~~ lib/ParquetFile.cpp:885:37: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 885 | for (uint32_t i = 0, j = 0; i < num_values; i++) { | ~~^~~~~~~~~~~~ lib/ParquetFile.cpp:894:32: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int32_t’ {aka ‘int’} [-Wsign-compare] 894 | for (uint32_t b = 0; b < type_len; b++) { | ~~^~~~~~~~~~ lib/ParquetFile.cpp: In member function ‘void nanoparquet::ParquetFile::read_chunk(int64_t, int64_t, int8_t*)’: lib/ParquetFile.cpp:1257:12: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘long unsigned int’ [-Wsign-compare] 1257 | if (size > file_size - offset) { | ~~~~~^~~~~~~~~~~~~~~~~~~~ In file included from lib/ParquetFile.cpp:15: lib/RleBpDecoder.h: In instantiation of ‘int RleBpDecoder::GetBatch(T*, int) [with T = unsigned char]’: lib/ParquetFile.cpp:340:28: required from here 340 | dec.GetBatch(defined_ptr, num_values); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ lib/RleBpDecoder.h:30:24: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 30 | while (values_read < batch_size) { | ~~~~~~~~~~~~^~~~~~~~~~~~ lib/RleBpDecoder.h: In instantiation of ‘int RleBpDecoder::GetBatchSpaced(uint32_t, uint32_t, const uint8_t*, T*) [with T = unsigned int; uint32_t = unsigned int; uint8_t = unsigned char]’: lib/ParquetFile.cpp:570:37: required from here 570 | dec.GetBatchSpaced(num_values, null_count, defined_ptr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 571 | offsets.get()); | ~~~~~~~~~~~~~~ lib/RleBpDecoder.h:104:27: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 104 | if (actual_read != literal_batch) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~ lib/RleBpDecoder.h:113:32: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 113 | while (literals_read < literal_batch) { | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ lib/RleBpDecoder.h: In instantiation of ‘int RleBpDecoder::GetBatch(T*, int) [with T = unsigned int]’: lib/ParquetFile.cpp:573:31: required from here 573 | dec.GetBatch(offsets.get(), num_values); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ lib/RleBpDecoder.h:30:24: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 30 | while (values_read < batch_size) { | ~~~~~~~~~~~~^~~~~~~~~~~~ lib/RleBpDecoder.h: In instantiation of ‘int RleBpDecoder::GetBatchSpaced(uint32_t, uint32_t, const uint8_t*, T*) [with T = bool; uint32_t = unsigned int; uint8_t = unsigned char]’: lib/ParquetFile.cpp:647:31: required from here 647 | dec.GetBatchSpaced(num_values, null_count, defined_ptr, | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 648 | offsets.get()); | ~~~~~~~~~~~~~~ lib/RleBpDecoder.h:104:27: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 104 | if (actual_read != literal_batch) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~ lib/RleBpDecoder.h:113:32: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 113 | while (literals_read < literal_batch) { | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ lib/RleBpDecoder.h: In instantiation of ‘int RleBpDecoder::GetBatch(T*, int) [with T = bool]’: lib/ParquetFile.cpp:650:25: required from here 650 | dec.GetBatch(offsets.get(), num_values); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ lib/RleBpDecoder.h:30:24: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 30 | while (values_read < batch_size) { | ~~~~~~~~~~~~^~~~~~~~~~~~ In file included from lib/ParquetFile.cpp:16: lib/DbpDecoder.h: In instantiation of ‘uint8_t* DbpDecoder::decode(T*) [with T = int; Tunsigned = unsigned int; uint8_t = unsigned char]’: lib/ParquetFile.cpp:679:17: required from here 679 | dec.decode(vals.get()); | ~~~~~~~~~~^~~~~~~~~~~~ lib/DbpDecoder.h:68:38: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; todo > 0 && i < mini_blocks_per_block; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~ lib/DbpDecoder.h:84:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint64_t’ {aka ‘long unsigned int’} [-Wsign-compare] 84 | for (auto i = 0; i < mb_vals; i++) { | ~~^~~~~~~~~ lib/DbpDecoder.h: In instantiation of ‘uint8_t* DbpDecoder::decode(T*) [with T = long int; Tunsigned = long unsigned int; uint8_t = unsigned char]’: lib/ParquetFile.cpp:694:17: required from here 694 | dec.decode(vals.get()); | ~~~~~~~~~~^~~~~~~~~~~~ lib/DbpDecoder.h:68:38: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; todo > 0 && i < mini_blocks_per_block; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~ lib/DbpDecoder.h:84:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint64_t’ {aka ‘long unsigned int’} [-Wsign-compare] 84 | for (auto i = 0; i < mb_vals; i++) { | ~~^~~~~~~~~ lib/ParquetFile.cpp: In instantiation of ‘void ColumnScan::fill_values_bss(nanoparquet::ResultColumn&) [with T = float]’: lib/ParquetFile.cpp:854:29: required from here 854 | fill_values_bss(result_col); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ lib/ParquetFile.cpp:830:28: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 830 | for (uint32_t i = 0; i < num_values; i++) { | ~~^~~~~~~~~~~~ lib/ParquetFile.cpp:842:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 842 | for (int b = 0; b < sizeof(T); b++) { | ~~^~~~~~~~~~~ lib/ParquetFile.cpp: In instantiation of ‘void ColumnScan::fill_values_bss(nanoparquet::ResultColumn&) [with T = double]’: lib/ParquetFile.cpp:857:30: required from here 857 | fill_values_bss(result_col); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ lib/ParquetFile.cpp:830:28: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 830 | for (uint32_t i = 0; i < num_values; i++) { | ~~^~~~~~~~~~~~ lib/ParquetFile.cpp:842:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 842 | for (int b = 0; b < sizeof(T); b++) { | ~~^~~~~~~~~~~ lib/ParquetFile.cpp: In instantiation of ‘void ColumnScan::fill_values_bss(nanoparquet::ResultColumn&) [with T = int]’: lib/ParquetFile.cpp:860:31: required from here 860 | fill_values_bss(result_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ lib/ParquetFile.cpp:830:28: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 830 | for (uint32_t i = 0; i < num_values; i++) { | ~~^~~~~~~~~~~~ lib/ParquetFile.cpp:842:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 842 | for (int b = 0; b < sizeof(T); b++) { | ~~^~~~~~~~~~~ lib/ParquetFile.cpp: In instantiation of ‘void ColumnScan::fill_values_bss(nanoparquet::ResultColumn&) [with T = long int]’: lib/ParquetFile.cpp:863:31: required from here 863 | fill_values_bss(result_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ lib/ParquetFile.cpp:830:28: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 830 | for (uint32_t i = 0; i < num_values; i++) { | ~~^~~~~~~~~~~~ lib/ParquetFile.cpp:842:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 842 | for (int b = 0; b < sizeof(T); b++) { | ~~^~~~~~~~~~~ In file included from lib/DbpDecoder.h:6: lib/decode-utils.h: In instantiation of ‘void unpack_bits(uint8_t*, uint64_t, uint8_t, T*, uint64_t) [with T = unsigned int; uint8_t = unsigned char; uint64_t = long unsigned int]’: lib/DbpDecoder.h:77:31: required from ‘uint8_t* DbpDecoder::decode(T*) [with T = int; Tunsigned = unsigned int; uint8_t = unsigned char]’ 77 | unpack_bits( | ~~~~~~~~~~~~~~~~~~~~~~^ 78 | buf->start, | ~~~~~~~~~~~ 79 | mb_len, | ~~~~~~~ 80 | bw, | ~~~ 81 | (Tunsigned*) values, | ~~~~~~~~~~~~~~~~~~~~ 82 | mb_vals | ~~~~~~~ 83 | ); | ~ lib/ParquetFile.cpp:679:17: required from here 679 | dec.decode(vals.get()); | ~~~~~~~~~~^~~~~~~~~~~~ lib/decode-utils.h:58:21: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 58 | while (num_values > output_group_size) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ lib/decode-utils.h: In instantiation of ‘void unpack_bits(uint8_t*, uint64_t, uint8_t, T*, uint64_t) [with T = long unsigned int; uint8_t = unsigned char; uint64_t = long unsigned int]’: lib/DbpDecoder.h:77:31: required from ‘uint8_t* DbpDecoder::decode(T*) [with T = long int; Tunsigned = long unsigned int; uint8_t = unsigned char]’ 77 | unpack_bits( | ~~~~~~~~~~~~~~~~~~~~~~^ 78 | buf->start, | ~~~~~~~~~~~ 79 | mb_len, | ~~~~~~~ 80 | bw, | ~~~ 81 | (Tunsigned*) values, | ~~~~~~~~~~~~~~~~~~~~ 82 | mb_vals | ~~~~~~~ 83 | ); | ~ lib/ParquetFile.cpp:694:17: required from here 694 | dec.decode(vals.get()); | ~~~~~~~~~~^~~~~~~~~~~~ lib/decode-utils.h:58:21: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 58 | while (num_values > output_group_size) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ In member function ‘int RleBpDecoder::GetBatchSpaced(uint32_t, uint32_t, const uint8_t*, T*) [with T = bool]’, inlined from ‘void ColumnScan::scan_data_page_rle(nanoparquet::ResultColumn&)’ at lib/ParquetFile.cpp:647:31: lib/RleBpDecoder.h:110:27: warning: ‘indices’ may be used uninitialized [-Wmaybe-uninitialized] 110 | *out++ = indices[0]; | ~~~~~~~^ lib/RleBpDecoder.h: In member function ‘void ColumnScan::scan_data_page_rle(nanoparquet::ResultColumn&)’: lib/RleBpDecoder.h:100:13: note: ‘indices’ declared here 100 | T indices[kBufferSize]; | ^~~~~~~ In member function ‘int RleBpDecoder::GetBatchSpaced(uint32_t, uint32_t, const uint8_t*, T*) [with T = unsigned int]’, inlined from ‘void ColumnScan::scan_data_page_dict(nanoparquet::ResultColumn&)’ at lib/ParquetFile.cpp:570:37: lib/RleBpDecoder.h:110:27: warning: ‘indices’ may be used uninitialized [-Wmaybe-uninitialized] 110 | *out++ = indices[0]; | ~~~~~~~^ lib/RleBpDecoder.h: In member function ‘void ColumnScan::scan_data_page_dict(nanoparquet::ResultColumn&)’: lib/RleBpDecoder.h:100:13: note: ‘indices’ declared here 100 | T indices[kBufferSize]; | ^~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c lib/ParquetOutFile.cpp -o lib/ParquetOutFile.o In file included from lib/nanoparquet.h:8, from lib/ParquetOutFile.cpp:12: lib/bytebuffer.h: In member function ‘virtual std::streamsize ByteBuffer::xsputn(const char*, std::streamsize)’: lib/bytebuffer.h:34:15: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘std::streamsize’ {aka ‘long int’} [-Wsign-compare] 34 | if (space < n) { | ~~~~~~^~~ lib/ParquetOutFile.cpp: In member function ‘void nanoparquet::ParquetOutFile::write_data_pages(uint32_t)’: lib/ParquetOutFile.cpp:591:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 591 | for (auto i = 0; i < num_pages; i++) { | ~~^~~~~~~~~~~ In file included from lib/ParquetOutFile.cpp:13: lib/RleBpEncoder.h: In instantiation of ‘uint32_t RleBpEncode(const T*, uint32_t, uint8_t, uint8_t*, uint32_t) [with T = int; uint32_t = unsigned int; uint8_t = unsigned char]’: lib/ParquetOutFile.cpp:438:32: required from here 438 | size_t tgt_size = RleBpEncode( | ~~~~~~~~~~~^ 439 | (int*) src.ptr, | ~~~~~~~~~~~~~~~ 440 | src_size, | ~~~~~~~~~ 441 | bit_width, | ~~~~~~~~~~ 442 | (uint8_t *) tgt.ptr + skip + (add_bit_width ? 1 : 0) + (add_size ? 4 : 0), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | tgt_size_est | ~~~~~~~~~~~~ 444 | ); | ~ lib/RleBpEncoder.h:40:16: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 40 | if (reps >= min_reps) { | ~~~~~^~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c lib/RleBpDecoder.cpp -o lib/RleBpDecoder.o In file included from lib/nanoparquet.h:8, from lib/RleBpDecoder.h:5, from lib/RleBpDecoder.cpp:1: lib/bytebuffer.h: In member function ‘virtual std::streamsize ByteBuffer::xsputn(const char*, std::streamsize)’: lib/bytebuffer.h:34:15: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘std::streamsize’ {aka ‘long int’} [-Wsign-compare] 34 | if (space < n) { | ~~~~~~^~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c parquet/parquet_types.cpp -o parquet/parquet_types.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c thrift/protocol/TProtocol.cpp -o thrift/protocol/TProtocol.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c thrift/transport/TTransportException.cpp -o thrift/transport/TTransportException.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c thrift/transport/TBufferTransports.cpp -o thrift/transport/TBufferTransports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c fastpforlib/bitpacking.cpp -o fastpforlib/bitpacking.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c snappy/snappy.cc -o snappy/snappy.o snappy/snappy.cc: In member function ‘void snappy::SnappySinkAllocator::Flush(size_t)’: snappy/snappy.cc:1599:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1599 | for (int i = 0; i < blocks_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ In file included from snappy/snappy-internal.h:34, from snappy/snappy.cc:30: snappy/snappy.cc: In instantiation of ‘bool snappy::SnappyScatteredWriter::AppendFromSelf(size_t, size_t) [with Allocator = snappy::SnappySinkAllocator; size_t = long unsigned int]’: snappy/snappy.cc:902:36: required from ‘void snappy::SnappyDecompressor::DecompressAllTags(Writer*) [with Writer = snappy::SnappyScatteredWriter]’ 902 | if (!writer->AppendFromSelf(copy_offset + trailer, length)) { | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ snappy/snappy.cc:991:34: required from ‘bool snappy::InternalUncompressAllTags(SnappyDecompressor*, Writer*, uint32, uint32) [with Writer = SnappyScatteredWriter; uint32 = unsigned int]’ 991 | decompressor->DecompressAllTags(writer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ snappy/snappy.cc:1657:37: required from here 1657 | return InternalUncompressAllTags(&decompressor, &writer, compressed_len, | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1658 | uncompressed_len); | ~~~~~~~~~~~~~~~~~ snappy/snappy.cc:1511:41: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘long int’ [-Wsign-compare] 1511 | if (SNAPPY_PREDICT_TRUE(offset - 1u < op_ptr_ - op_base_ && | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ snappy/snappy-stubs-internal.h:104:32: note: in definition of macro ‘SNAPPY_PREDICT_TRUE’ 104 | #define SNAPPY_PREDICT_TRUE(x) x | ^ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c snappy/snappy-sinksource.cc -o snappy/snappy-sinksource.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c miniz/miniz.cpp -o miniz/miniz.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c zstd/common/entropy_common.cpp -o zstd/common/entropy_common.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c zstd/common/error_private.cpp -o zstd/common/error_private.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c zstd/common/fse_decompress.cpp -o zstd/common/fse_decompress.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c zstd/common/xxhash.cpp -o zstd/common/xxhash.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c zstd/common/zstd_common.cpp -o zstd/common/zstd_common.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c zstd/decompress/huf_decompress.cpp -o zstd/decompress/huf_decompress.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c zstd/decompress/zstd_ddict.cpp -o zstd/decompress/zstd_ddict.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c zstd/decompress/zstd_decompress.cpp -o zstd/decompress/zstd_decompress.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c zstd/decompress/zstd_decompress_block.cpp -o zstd/decompress/zstd_decompress_block.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c zstd/compress/fse_compress.cpp -o zstd/compress/fse_compress.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c zstd/compress/hist.cpp -o zstd/compress/hist.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c zstd/compress/huf_compress.cpp -o zstd/compress/huf_compress.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c zstd/compress/zstd_compress.cpp -o zstd/compress/zstd_compress.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c zstd/compress/zstd_compress_literals.cpp -o zstd/compress/zstd_compress_literals.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c zstd/compress/zstd_compress_sequences.cpp -o zstd/compress/zstd_compress_sequences.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c zstd/compress/zstd_compress_superblock.cpp -o zstd/compress/zstd_compress_superblock.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c zstd/compress/zstd_double_fast.cpp -o zstd/compress/zstd_double_fast.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c zstd/compress/zstd_fast.cpp -o zstd/compress/zstd_fast.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c zstd/compress/zstd_lazy.cpp -o zstd/compress/zstd_lazy.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c zstd/compress/zstd_ldm.cpp -o zstd/compress/zstd_ldm.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -Ithrift -I. -Izstd/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c zstd/compress/zstd_opt.cpp -o zstd/compress/zstd_opt.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o nanoparquet.so rwrapper.o protect.o read.o write.o read-metadata.o read-pages.o arrow-schema.o base64.o r-base64.o snappy.o encodings.o dictionary-encoding.o test.o lib/ParquetFile.o lib/ParquetOutFile.o lib/RleBpDecoder.o parquet/parquet_types.o thrift/protocol/TProtocol.o thrift/transport/TTransportException.o thrift/transport/TBufferTransports.o fastpforlib/bitpacking.o snappy/snappy.o snappy/snappy-sinksource.o miniz/miniz.o zstd/common/entropy_common.o zstd/common/error_private.o zstd/common/fse_decompress.o zstd/common/xxhash.o zstd/common/zstd_common.o zstd/decompress/huf_decompress.o zstd/decompress/zstd_ddict.o zstd/decompress/zstd_decompress.o zstd/decompress/zstd_decompress_block.o zstd/compress/fse_compress.o zstd/compress/hist.o zstd/compress/huf_compress.o zstd/compress/zstd_compress.o zstd/compress/zstd_compress_literals.o zstd/compress/zstd_compress_sequences.o zstd/compress/zstd_compress_superblock.o zstd/compress/zstd_double_fast.o zstd/compress/zstd_fast.o zstd/compress/zstd_lazy.o zstd/compress/zstd_ldm.o zstd/compress/zstd_opt.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp7hDqco/R.INSTALL365a8f20f968de/nanoparquet/src' installing via 'install.libs.R' to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-nanoparquet/00new/nanoparquet ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (nanoparquet) * installing *source* package ‘jinjar’ ... ** package ‘jinjar’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpoNuYWs/R.INSTALL3682b856c89eda/jinjar/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I./inja -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c condition.cpp -o condition.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I./inja -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c cpp11.cpp -o cpp11.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I./inja -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c loader.cpp -o loader.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I./inja -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c render.cpp -o render.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I./inja -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c template.cpp -o template.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o jinjar.so condition.o cpp11.o loader.o render.o template.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpoNuYWs/R.INSTALL3682b856c89eda/jinjar/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-jinjar/00new/jinjar/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (jinjar) * installing *source* package ‘tarchetypes’ ... ** package ‘tarchetypes’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tarchetypes) * installing *source* package ‘pkgdepends’ ... ** package ‘pkgdepends’ successfully unpacked and MD5 sums checked ** using staged installation *** Running ./configure ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pkgdepends) * installing *source* package ‘warbleR’ ... ** package ‘warbleR’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpPmgHJQ/R.INSTALL36997a3bf33c22/warbleR/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c envelope.cpp -o envelope.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o warbleR.so RcppExports.o envelope.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpPmgHJQ/R.INSTALL36997a3bf33c22/warbleR/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-warbleR/00new/warbleR/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (warbleR) * installing *source* package ‘modeltime’ ... ** package ‘modeltime’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (modeltime) * installing *source* package ‘paws.machine.learning’ ... ** package ‘paws.machine.learning’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (paws.machine.learning) begin installing package ‘smdocker’ * installing *source* package ‘tfevents’ ... ** package ‘tfevents’ successfully unpacked and MD5 sums checked ** using staged installation Found pkg-config cflags and libs! Using PKG_CFLAGS= Using PKG_LIBS=-lprotobuf Using C++17 compiler: g++-14 -std=gnu++17 Using libprotoc 3.21.12 from /usr/bin/protoc ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-3) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpGtEyq4/R.INSTALL367d47f21553c/tfevents/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSENEWAPI -Igenerated -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o In file included from tfevents_types.h:4, from RcppExports.cpp:4: tensor.h: In function ‘T Rcpp::as(SEXP) [with T = std::vector >; SEXP = SEXPREC*]’: tensor.h:13:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 13 | for (size_t i = 0; i < r_dtype.size(); i++) { | ~~^~~~~~~~~~~~~~~~ tensor.h: In function ‘T Rcpp::as(SEXP) [with T = std::vector; SEXP = SEXPREC*]’: tensor.h:47:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 47 | for (size_t i = 0; i < r_dims.size(); i++) { | ~~^~~~~~~~~~~~~~~ tensor.h: In function ‘T Rcpp::as(SEXP) [with T = std::vector >; SEXP = SEXPREC*]’: tensor.h:69:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 69 | for (size_t i = 0; i < r_dims.size(); i++) { | ~~^~~~~~~~~~~~~~~ In file included from tfevents_types.h:5: as.h: In function ‘T Rcpp::as(SEXP) [with T = std::vector; SEXP = SEXPREC*]’: as.h:40:23: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 40 | for (size_t i =0; i < r_buffer.size(); i++) { | ~~^~~~~~~~~~~~~~~~~ as.h: In function ‘T Rcpp::as(SEXP) [with T = std::vector; SEXP = SEXPREC*]’: as.h:102:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 102 | for (size_t i = 0; i < r_summary.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~ In file included from tfevents_types.h:6: wrap.h: In function ‘SEXPREC* Rcpp::wrap(const T&) [with T = tensorboard::Summary; SEXP = SEXPREC*]’: wrap.h:105:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 105 | for (size_t i = 0; i < n_values; i++) { | ~~^~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSENEWAPI -Igenerated -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c code.cpp -o code.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSENEWAPI -Igenerated -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c event_writer.cpp -o event_writer.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSENEWAPI -Igenerated -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c reader.cpp -o reader.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSENEWAPI -Igenerated -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c record_writer.cpp -o record_writer.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSENEWAPI -Igenerated -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c utils.cpp -o utils.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSENEWAPI -Igenerated -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c write.cpp -o write.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSENEWAPI -Igenerated -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c generated/summary.pb.cc -o generated/summary.pb.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSENEWAPI -Igenerated -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c generated/tensor_shape.pb.cc -o generated/tensor_shape.pb.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSENEWAPI -Igenerated -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c generated/resource_handle.pb.cc -o generated/resource_handle.pb.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSENEWAPI -Igenerated -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c generated/tensor.pb.cc -o generated/tensor.pb.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSENEWAPI -Igenerated -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c generated/plugins/scalar/plugin_data.pb.cc -o generated/plugins/scalar/plugin_data.pb.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSENEWAPI -Igenerated -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c generated/plugins/hparams/api.pb.cc -o generated/plugins/hparams/api.pb.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSENEWAPI -Igenerated -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c generated/plugins/hparams/plugin_data.pb.cc -o generated/plugins/hparams/plugin_data.pb.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSENEWAPI -Igenerated -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c generated/plugins/hparams/hparams_util.pb.cc -o generated/plugins/hparams/hparams_util.pb.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSENEWAPI -Igenerated -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c generated/plugins/image/plugin_data.pb.cc -o generated/plugins/image/plugin_data.pb.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSENEWAPI -Igenerated -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c generated/plugins/histogram/plugin_data.pb.cc -o generated/plugins/histogram/plugin_data.pb.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSENEWAPI -Igenerated -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c generated/plugins/text/plugin_data.pb.cc -o generated/plugins/text/plugin_data.pb.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSENEWAPI -Igenerated -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c generated/plugins/audio/plugin_data.pb.cc -o generated/plugins/audio/plugin_data.pb.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSENEWAPI -Igenerated -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c generated/event.pb.cc -o generated/event.pb.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSENEWAPI -Igenerated -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c generated/types.pb.cc -o generated/types.pb.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DUSENEWAPI -Igenerated -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c crc32c.c -o crc32c.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o tfevents.so RcppExports.o code.o event_writer.o reader.o record_writer.o utils.o write.o generated/summary.pb.o generated/tensor_shape.pb.o generated/resource_handle.pb.o generated/tensor.pb.o generated/plugins/scalar/plugin_data.pb.o generated/plugins/hparams/api.pb.o generated/plugins/hparams/plugin_data.pb.o generated/plugins/hparams/hparams_util.pb.o generated/plugins/image/plugin_data.pb.o generated/plugins/histogram/plugin_data.pb.o generated/plugins/text/plugin_data.pb.o generated/plugins/audio/plugin_data.pb.o generated/event.pb.o generated/types.pb.o ./crc32c.o -lprotobuf -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpGtEyq4/R.INSTALL367d47f21553c/tfevents/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-tfevents/00new/tfevents/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tfevents) * installing *source* package ‘smdocker’ ... ** package ‘smdocker’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (smdocker) * installing *source* package ‘Quartet’ ... ** package ‘Quartet’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmptwkJVG/R.INSTALL368bdebabaf59/Quartet/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c AbstractDistanceCalculator.cpp -o AbstractDistanceCalculator.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c AllQuartets.cpp -o AllQuartets.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c EdgeParser.cpp -o EdgeParser.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c HDT.cpp -o HDT.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c HDTCountingCCToC.cpp -o HDTCountingCCToC.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c HDTCountingCTransform.cpp -o HDTCountingCTransform.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c HDTCountingG.cpp -o HDTCountingG.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c HDTCountingIGToC.cpp -o HDTCountingIGToC.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c HDTCountingLeaf.cpp -o HDTCountingLeaf.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c HDTFactory.cpp -o HDTFactory.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c HDTListUtils.cpp -o HDTListUtils.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c NewickParser.cpp -o NewickParser.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c QuartetDistanceCalculator.cpp -o QuartetDistanceCalculator.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RootedTree.cpp -o RootedTree.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RootedTreeFactory.cpp -o RootedTreeFactory.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c TripletDistanceCalculator.cpp -o TripletDistanceCalculator.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c int_stuff.cpp -o int_stuff.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rQuartetDist.cpp -o rQuartetDist.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rTripletDist.cpp -o rTripletDist.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o Quartet.so AbstractDistanceCalculator.o AllQuartets.o EdgeParser.o HDT.o HDTCountingCCToC.o HDTCountingCTransform.o HDTCountingG.o HDTCountingIGToC.o HDTCountingLeaf.o HDTFactory.o HDTListUtils.o NewickParser.o QuartetDistanceCalculator.o RcppExports.o RootedTree.o RootedTreeFactory.o TripletDistanceCalculator.o int_stuff.o rQuartetDist.o rTripletDist.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmptwkJVG/R.INSTALL368bdebabaf59/Quartet/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-Quartet/00new/Quartet/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Quartet) * installing *source* package ‘rgl’ ... ** package ‘rgl’ successfully unpacked and MD5 sums checked ** using staged installation checking for gcc... gcc-14 checking whether the C compiler works... yes checking for C compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether the compiler supports GNU C... yes checking whether gcc-14 accepts -g... yes checking for gcc-14 option to enable C11 features... none needed checking how to run the C preprocessor... gcc-14 -E checking for gcc... (cached) gcc-14 checking whether the compiler supports GNU C... (cached) yes checking whether gcc-14 accepts -g... (cached) yes checking for gcc-14 option to enable C11 features... (cached) none needed checking for libpng-config... yes configure: using libpng-config configure: using libpng dynamic linkage checking for X... libraries , headers checking for XAllocClassHint... yes checking for GL/gl.h... yes checking for GL/glu.h... yes checking for glEnd in -lGL... yes checking for glEnd... yes checking for gluErrorString in -lGLU... yes checking for gluErrorString... yes checking for pkg-config... yes configure: using Freetype and FTGL configure: creating ./config.status config.status: creating R/noOpenGL.R config.status: creating src/useNULL/Makevars config.status: creating src/Makevars ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-3) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpmF3TB1/R.INSTALL36717f267b9032/rgl/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c ABCLineSet.cpp -o ABCLineSet.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c BBoxDeco.cpp -o BBoxDeco.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Background.cpp -o Background.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c ClipPlane.cpp -o ClipPlane.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Color.cpp -o Color.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Disposable.cpp -o Disposable.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Light.cpp -o Light.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c LineSet.cpp -o LineSet.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c LineStripSet.cpp -o LineStripSet.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Material.cpp -o Material.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c NULLgui.cpp -o NULLgui.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c PlaneSet.cpp -o PlaneSet.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c PointSet.cpp -o PointSet.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c PrimitiveSet.cpp -o PrimitiveSet.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c R.cpp -o R.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RenderContext.cpp -o RenderContext.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Shape.cpp -o Shape.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c SphereMesh.cpp -o SphereMesh.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c SphereSet.cpp -o SphereSet.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c SpriteSet.cpp -o SpriteSet.o SpriteSet.cpp: In member function ‘virtual void rgl::SpriteSet::getAttribute(rgl::SceneNode*, rgl::AttribID, int, int, double*)’: SpriteSet.cpp:361:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 361 | for (int i = 0; i < shapelens.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Surface.cpp -o Surface.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c TextSet.cpp -o TextSet.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Texture.cpp -o Texture.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Viewpoint.cpp -o Viewpoint.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c api.cpp -o api.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c assert.cpp -o assert.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c callbacks.cpp -o callbacks.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c device.cpp -o device.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c devicemanager.cpp -o devicemanager.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fps.cpp -o fps.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c ftgl.cpp -o ftgl.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c geom.cpp -o geom.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c gl.c -o gl.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c gl2ps.c -o gl2ps.o gl2ps.c: In function ‘gl2psBuildBspTree’: gl2ps.c:1619:3: warning: ‘prim’ may be used uninitialized [-Wmaybe-uninitialized] 1619 | gl2psGetPlane(prim, tree->plane); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gl2ps.c:1611:19: note: ‘prim’ declared here 1611 | GL2PSprimitive *prim, *frontprim = NULL, *backprim = NULL; | ^~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c glErrors.cpp -o glErrors.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c glgui.cpp -o glgui.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gui.cpp -o gui.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c init.cpp -o init.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c par3d.cpp -o par3d.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c pixmap.cpp -o pixmap.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c platform.cpp -o platform.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c pretty.c -o pretty.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c render.cpp -o render.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rglmath.cpp -o rglmath.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rglview.cpp -o rglview.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c scene.cpp -o scene.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c select.cpp -o select.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c subscene.cpp -o subscene.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c win32gui.cpp -o win32gui.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c win32lib.cpp -o win32lib.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c x11gui.cpp -o x11gui.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DHAVE_FREETYPE -Iext/ftgl -I/usr/include/freetype2 -I/usr/include/libpng16 -DR_NO_REMAP -Iext -Iext/glad/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c x11lib.cpp -o x11lib.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o rgl.so ABCLineSet.o BBoxDeco.o Background.o ClipPlane.o Color.o Disposable.o Light.o LineSet.o LineStripSet.o Material.o NULLgui.o PlaneSet.o PointSet.o PrimitiveSet.o R.o RenderContext.o Shape.o SphereMesh.o SphereSet.o SpriteSet.o Surface.o TextSet.o Texture.o Viewpoint.o api.o assert.o callbacks.o device.o devicemanager.o fps.o ftgl.o geom.o gl.o gl2ps.o glErrors.o glgui.o gui.o init.o par3d.o pixmap.o platform.o pretty.o render.o rglmath.o rglview.o scene.o select.o subscene.o win32gui.o win32lib.o x11gui.o x11lib.o -lGLU -lGL -lpng16 -lX11 -lfreetype -lz -lbz2 -lpng16 -lz -lm -lz -lbrotlidec -lbrotlicommon -L/home/hornik/tmp/R-d-gcc-14/lib -lR cp -Rp OpenGL useNULL && \ cp -p *.c *.h *.cpp useNULL/ && \ cd useNULL && \ /home/hornik/tmp/R-d-gcc-14/bin/R CMD SHLIB -o useNULL.so *.cpp *.c && \ cd .. && \ mkdir -p ../inst/useNULL && \ mv useNULL/useNULL.so ../inst/useNULL/rgl.so && \ rm useNULL/*.cpp useNULL/*.c useNULL/*.h useNULL/OpenGL/* using C compiler: ‘gcc-14 (Debian 14.2.0-3) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ make[2]: Entering directory '/home/hornik/tmp/scratch/RtmpmF3TB1/R.INSTALL36717f267b9032/rgl/src/useNULL' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c ABCLineSet.cpp -o ABCLineSet.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c BBoxDeco.cpp -o BBoxDeco.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Background.cpp -o Background.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c ClipPlane.cpp -o ClipPlane.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Color.cpp -o Color.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Disposable.cpp -o Disposable.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Light.cpp -o Light.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c LineSet.cpp -o LineSet.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c LineStripSet.cpp -o LineStripSet.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Material.cpp -o Material.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c NULLgui.cpp -o NULLgui.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c PlaneSet.cpp -o PlaneSet.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c PointSet.cpp -o PointSet.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c PrimitiveSet.cpp -o PrimitiveSet.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c R.cpp -o R.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RenderContext.cpp -o RenderContext.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Shape.cpp -o Shape.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c SphereMesh.cpp -o SphereMesh.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c SphereSet.cpp -o SphereSet.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c SpriteSet.cpp -o SpriteSet.o SpriteSet.cpp: In member function ‘virtual void rgl::SpriteSet::getAttribute(rgl::SceneNode*, rgl::AttribID, int, int, double*)’: SpriteSet.cpp:361:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 361 | for (int i = 0; i < shapelens.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Surface.cpp -o Surface.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c TextSet.cpp -o TextSet.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Texture.cpp -o Texture.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Viewpoint.cpp -o Viewpoint.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c api.cpp -o api.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c assert.cpp -o assert.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c callbacks.cpp -o callbacks.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c device.cpp -o device.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c devicemanager.cpp -o devicemanager.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fps.cpp -o fps.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c ftgl.cpp -o ftgl.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c geom.cpp -o geom.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c glErrors.cpp -o glErrors.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c glgui.cpp -o glgui.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gui.cpp -o gui.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c init.cpp -o init.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c par3d.cpp -o par3d.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c pixmap.cpp -o pixmap.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c platform.cpp -o platform.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c render.cpp -o render.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rglmath.cpp -o rglmath.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rglview.cpp -o rglview.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c scene.cpp -o scene.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c select.cpp -o select.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c subscene.cpp -o subscene.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c win32gui.cpp -o win32gui.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c win32lib.cpp -o win32lib.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c x11gui.cpp -o x11gui.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c x11lib.cpp -o x11lib.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c gl.c -o gl.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c gl2ps.c -o gl2ps.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DHAVE_PNG_H -I/usr/include/libpng16 -DRGL_NO_OPENGL -DR_NO_REMAP -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c pretty.c -o pretty.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o useNULL.so ABCLineSet.o BBoxDeco.o Background.o ClipPlane.o Color.o Disposable.o Light.o LineSet.o LineStripSet.o Material.o NULLgui.o PlaneSet.o PointSet.o PrimitiveSet.o R.o RenderContext.o Shape.o SphereMesh.o SphereSet.o SpriteSet.o Surface.o TextSet.o Texture.o Viewpoint.o api.o assert.o callbacks.o device.o devicemanager.o fps.o ftgl.o geom.o glErrors.o glgui.o gui.o init.o par3d.o pixmap.o platform.o render.o rglmath.o rglview.o scene.o select.o subscene.o win32gui.o win32lib.o x11gui.o x11lib.o gl.o gl2ps.o pretty.o -lpng16 -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[2]: Leaving directory '/home/hornik/tmp/scratch/RtmpmF3TB1/R.INSTALL36717f267b9032/rgl/src/useNULL' make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpmF3TB1/R.INSTALL36717f267b9032/rgl/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-rgl/00new/rgl/libs ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rgl) begin installing package ‘ciftiTools’ * installing *source* package ‘TreeDist’ ... ** package ‘TreeDist’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ using C++17 make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpdaRlou/R.INSTALL3697bb7dd660ec/TreeDist/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/tmp/CRAN_recheck/Library/TreeTools/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/tmp/CRAN_recheck/Library/TreeTools/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c day_1985.cpp -o day_1985.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/tmp/CRAN_recheck/Library/TreeTools/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c lap.cpp -o lap.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/tmp/CRAN_recheck/Library/TreeTools/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c mast.cpp -o mast.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/tmp/CRAN_recheck/Library/TreeTools/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c nni_distance.cpp -o nni_distance.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/tmp/CRAN_recheck/Library/TreeTools/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c path_vector.cpp -o path_vector.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/tmp/CRAN_recheck/Library/TreeTools/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c reduce_tree.cpp -o reduce_tree.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/tmp/CRAN_recheck/Library/TreeTools/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c spr.cpp -o spr.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/tmp/CRAN_recheck/Library/TreeTools/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c tree_distance_functions.cpp -o tree_distance_functions.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/tmp/CRAN_recheck/Library/TreeTools/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c tree_distances.cpp -o tree_distances.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o TreeDist.so RcppExports.o day_1985.o lap.o mast.o nni_distance.o path_vector.o reduce_tree.o spr.o tree_distance_functions.o tree_distances.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpdaRlou/R.INSTALL3697bb7dd660ec/TreeDist/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-TreeDist/00new/TreeDist/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (TreeDist) begin installing package ‘Rogue’ * installing *source* package ‘rEDM’ ... ** package ‘rEDM’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ using C++17 make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpEdk8Uh/R.INSTALL3669127dca8d1c/rEDM/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I ./cppEDM/src/ -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppThread/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c CCM.cpp -o CCM.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I ./cppEDM/src/ -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppThread/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c ComputeError.cpp -o ComputeError.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I ./cppEDM/src/ -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppThread/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DataFrame.cpp -o DataFrame.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I ./cppEDM/src/ -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppThread/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Embed.cpp -o Embed.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I ./cppEDM/src/ -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppThread/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c EmbedDim.cpp -o EmbedDim.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I ./cppEDM/src/ -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppThread/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Multiview.cpp -o Multiview.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I ./cppEDM/src/ -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppThread/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c ParameterList.cpp -o ParameterList.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I ./cppEDM/src/ -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppThread/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c PredictInterval.cpp -o PredictInterval.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I ./cppEDM/src/ -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppThread/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c PredictNL.cpp -o PredictNL.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I ./cppEDM/src/ -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppThread/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppEDMCommon.cpp -o RcppEDMCommon.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I ./cppEDM/src/ -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppThread/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I ./cppEDM/src/ -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppThread/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c SMap.cpp -o SMap.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I ./cppEDM/src/ -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppThread/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Simplex.cpp -o Simplex.o make[2]: Entering directory '/home/hornik/tmp/scratch/RtmpEdk8Uh/R.INSTALL3669127dca8d1c/rEDM/src/cppEDM/src' rm -f API.o CCM.o Common.o DateTime.o EDM.o EDM_Formatting.o EDM_Neighbors.o Eval.o Multiview.o Parameter.o Simplex.o SMap.o libEDM.a make[2]: Leaving directory '/home/hornik/tmp/scratch/RtmpEdk8Uh/R.INSTALL3669127dca8d1c/rEDM/src/cppEDM/src' make[2]: Entering directory '/home/hornik/tmp/scratch/RtmpEdk8Uh/R.INSTALL3669127dca8d1c/rEDM/src/cppEDM/src' g++-14 -std=gnu++17 -g -O2 -Wall -pedantic -mtune=native -fpic -DCCM_THREADED -DUSING_R -c API.cc g++-14 -std=gnu++17 -g -O2 -Wall -pedantic -mtune=native -fpic -DCCM_THREADED -DUSING_R -c CCM.cc g++-14 -std=gnu++17 -g -O2 -Wall -pedantic -mtune=native -fpic -DCCM_THREADED -DUSING_R -c Common.cc g++-14 -std=gnu++17 -g -O2 -Wall -pedantic -mtune=native -fpic -DCCM_THREADED -DUSING_R -c DateTime.cc g++-14 -std=gnu++17 -g -O2 -Wall -pedantic -mtune=native -fpic -DCCM_THREADED -DUSING_R -c EDM.cc g++-14 -std=gnu++17 -g -O2 -Wall -pedantic -mtune=native -fpic -DCCM_THREADED -DUSING_R -c EDM_Formatting.cc g++-14 -std=gnu++17 -g -O2 -Wall -pedantic -mtune=native -fpic -DCCM_THREADED -DUSING_R -c EDM_Neighbors.cc g++-14 -std=gnu++17 -g -O2 -Wall -pedantic -mtune=native -fpic -DCCM_THREADED -DUSING_R -c Eval.cc g++-14 -std=gnu++17 -g -O2 -Wall -pedantic -mtune=native -fpic -DCCM_THREADED -DUSING_R -c Multiview.cc g++-14 -std=gnu++17 -g -O2 -Wall -pedantic -mtune=native -fpic -DCCM_THREADED -DUSING_R -c Parameter.cc g++-14 -std=gnu++17 -g -O2 -Wall -pedantic -mtune=native -fpic -DCCM_THREADED -DUSING_R -c Simplex.cc g++-14 -std=gnu++17 -g -O2 -Wall -pedantic -mtune=native -fpic -DCCM_THREADED -DUSING_R -c SMap.cc ar -rcs libEDM.a API.o CCM.o Common.o DateTime.o EDM.o EDM_Formatting.o EDM_Neighbors.o Eval.o Multiview.o Parameter.o Simplex.o SMap.o # AR passed from Makevars cp libEDM.a ../lib/ make[2]: Leaving directory '/home/hornik/tmp/scratch/RtmpEdk8Uh/R.INSTALL3669127dca8d1c/rEDM/src/cppEDM/src' g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o rEDM.so CCM.o ComputeError.o DataFrame.o Embed.o EmbedDim.o Multiview.o ParameterList.o PredictInterval.o PredictNL.o RcppEDMCommon.o RcppExports.o SMap.o Simplex.o -L ./cppEDM/lib/ -lEDM -llapack -L/home/hornik/tmp/R-d-gcc-14/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpEdk8Uh/R.INSTALL3669127dca8d1c/rEDM/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-rEDM/00new/rEDM/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rEDM) * installing *source* package ‘Rogue’ ... ** package ‘Rogue’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpQxyjkJ/R.INSTALL36a2724d1679db/Rogue/src' gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c graph_geodesic.c -o graph_geodesic.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rnr/Array.c -o rnr/Array.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rnr/BitVector.c -o rnr/BitVector.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rnr/Dropset.c -o rnr/Dropset.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rnr/HashTable.c -o rnr/HashTable.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rnr/List.c -o rnr/List.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rnr/Node.c -o rnr/Node.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rnr/ProfileElem.c -o rnr/ProfileElem.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rnr/RogueNaRok.c -o rnr/RogueNaRok.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rnr/Tree.c -o rnr/Tree.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rnr/common.c -o rnr/common.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rnr/legacy.c -o rnr/legacy.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rnr/newFunctions.c -o rnr/newFunctions.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c Rogue_init.c -o Rogue_init.o gcc-14 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o Rogue.so graph_geodesic.o rnr/Array.o rnr/BitVector.o rnr/Dropset.o rnr/HashTable.o rnr/List.o rnr/Node.o rnr/ProfileElem.o rnr/RogueNaRok.o rnr/Tree.o rnr/common.o rnr/legacy.o rnr/newFunctions.o Rogue_init.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpQxyjkJ/R.INSTALL36a2724d1679db/Rogue/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-Rogue/00new/Rogue/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Rogue) * installing *source* package ‘ciftiTools’ ... ** package ‘ciftiTools’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ciftiTools) * installing *source* package ‘tidyxl’ ... ** package ‘tidyxl’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmph5K6W6/R.INSTALL368452470aa4a8/tidyxl/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/tmp/CRAN_recheck/Library/piton/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/tmp/CRAN_recheck/Library/piton/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c border.cpp -o border.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/tmp/CRAN_recheck/Library/piton/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c color.cpp -o color.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/tmp/CRAN_recheck/Library/piton/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fill.cpp -o fill.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/tmp/CRAN_recheck/Library/piton/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c font.cpp -o font.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/tmp/CRAN_recheck/Library/piton/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gradientFill.cpp -o gradientFill.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/tmp/CRAN_recheck/Library/piton/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gradientStop.cpp -o gradientStop.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/tmp/CRAN_recheck/Library/piton/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c patternFill.cpp -o patternFill.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/tmp/CRAN_recheck/Library/piton/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c ref.cpp -o ref.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/tmp/CRAN_recheck/Library/piton/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c shared_formula.cpp -o shared_formula.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/tmp/CRAN_recheck/Library/piton/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c stroke.cpp -o stroke.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/tmp/CRAN_recheck/Library/piton/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c tidyxl.cpp -o tidyxl.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/tmp/CRAN_recheck/Library/piton/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c xf.cpp -o xf.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/tmp/CRAN_recheck/Library/piton/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c xlex.cpp -o xlex.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/tmp/CRAN_recheck/Library/piton/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c xlsxbook.cpp -o xlsxbook.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/tmp/CRAN_recheck/Library/piton/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c xlsxcell.cpp -o xlsxcell.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/tmp/CRAN_recheck/Library/piton/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c xlsxnames.cpp -o xlsxnames.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/tmp/CRAN_recheck/Library/piton/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c xlsxsheet.cpp -o xlsxsheet.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/tmp/CRAN_recheck/Library/piton/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c xlsxstyles.cpp -o xlsxstyles.o xlsxstyles.cpp: In member function ‘Rcpp::List xlsxstyles::zipFormats(std::vector, bool)’: xlsxstyles.cpp:634:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 634 | for(int i = 0; i < styles.size(); ++i) { | ~~^~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/tmp/CRAN_recheck/Library/piton/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c xlsxvalidation.cpp -o xlsxvalidation.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/tmp/CRAN_recheck/Library/piton/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c zip.cpp -o zip.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o tidyxl.so RcppExports.o border.o color.o fill.o font.o gradientFill.o gradientStop.o patternFill.o ref.o shared_formula.o stroke.o tidyxl.o xf.o xlex.o xlsxbook.o xlsxcell.o xlsxnames.o xlsxsheet.o xlsxstyles.o xlsxvalidation.o zip.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmph5K6W6/R.INSTALL368452470aa4a8/tidyxl/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-tidyxl/00new/tidyxl/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tidyxl) * installing *source* package ‘seededlda’ ... ** package ‘seededlda’ successfully unpacked and MD5 sums checked ** using staged installation checking whether the C++ compiler works... yes checking for C++ compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether the compiler supports GNU C++... yes checking whether g++-14 -std=gnu++17 accepts -g... yes checking for g++-14 -std=gnu++17 option to enable C++11 features... none needed checking how to run the C++ preprocessor... g++-14 -std=gnu++17 -E checking for gcc... gcc-14 checking whether the compiler supports GNU C... yes checking whether gcc-14 accepts -g... yes checking for gcc-14 option to enable C11 features... none needed checking whether the compiler supports GNU C++... (cached) yes checking whether g++-14 -std=gnu++17 accepts -g... (cached) yes checking for g++-14 -std=gnu++17 option to enable C++11 features... (cached) none needed checking Intel TBB existence:... yes checking tbb available for compiling and linking:... yes configure: Package CPP flags: -DTBB configure: Package LIBS: -ltbb configure: creating ./config.status config.status: creating src/Makevars ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpz684J1/R.INSTALL36927f4ea45bad/seededlda/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DARMA_DONT_PRINT_OPENMP_WARNING -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/quanteda/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/testthat/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I../inst/include -DTBB -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DARMA_DONT_PRINT_OPENMP_WARNING -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/quanteda/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/testthat/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I../inst/include -DTBB -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c lda.cpp -o lda.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DARMA_DONT_PRINT_OPENMP_WARNING -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/quanteda/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/testthat/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I../inst/include -DTBB -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c test-array.cpp -o test-array.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DARMA_DONT_PRINT_OPENMP_WARNING -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/quanteda/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/testthat/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I../inst/include -DTBB -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c test-runner.cpp -o test-runner.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DARMA_DONT_PRINT_OPENMP_WARNING -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/quanteda/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/testthat/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I../inst/include -DTBB -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c utility.cpp -o utility.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o seededlda.so RcppExports.o lda.o test-array.o test-runner.o utility.o -llapack -L/home/hornik/tmp/R-d-gcc-14/lib -lRblas -lgfortran -lm -lquadmath -ltbb -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpz684J1/R.INSTALL36927f4ea45bad/seededlda/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-seededlda/00new/seededlda/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (seededlda) * installing *source* package ‘castor’ ... ** package ‘castor’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-3) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp5UruCo/R.INSTALL368649102e361c/castor/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c STMathExpression.cpp -o STMathExpression.o STMathExpression.cpp:10: warning: ignoring ‘#pragma mark ’ [-Wunknown-pragmas] 10 | #pragma mark - STMathExpression.cpp:11: warning: ignoring ‘#pragma mark String’ [-Wunknown-pragmas] 11 | #pragma mark String manipulations STMathExpression.cpp:12: warning: ignoring ‘#pragma mark ’ [-Wunknown-pragmas] 12 | #pragma mark STMathExpression.cpp:65: warning: ignoring ‘#pragma mark ’ [-Wunknown-pragmas] 65 | #pragma mark - STMathExpression.cpp:66: warning: ignoring ‘#pragma mark MathExpression’ [-Wunknown-pragmas] 66 | #pragma mark MathExpression STMathExpression.cpp:67: warning: ignoring ‘#pragma mark ’ [-Wunknown-pragmas] 67 | #pragma mark STMathExpression.cpp: In static member function ‘static long int MathExpression::splitBinaryOperatorInverseOrder(const std::string&, long int, long int, const std::vector&)’: STMathExpression.cpp:256:42: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 256 | else if(j==string::npos){ if(!STMath_isReal(expression.substr(0,i-1))) return getLeftMostOfPlusMinusOperatorChain(expression,start,i); } | ~^~~~~~~~~~~~~~ STMathExpression.cpp: In member function ‘std::string MathExpression::parseBlock(const std::string&, long int, long int, const std::vector&, const std::map, long int>&, const std::map, long int>&, long int, bool)’: STMathExpression.cpp:313:105: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 313 | if(isWhiteSpace(expression,start,end)) return "Missing "+(start==0 ? "leading expression" : (end==expression.size()-1 ? "trailing expression" : "expression between '"+expression.substr(0,start)+"' and '"+expression.substr(end+1)+"'")); | ~~~^~~~~~~~~~~~~~~~~~~~~ STMathExpression.cpp:359:37: warning: comparison of integer expressions of different signedness: ‘const long int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 359 | if((rightMostBracket==string::npos) || (rightMostBracket&)’: STMathExpression.cpp:463:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 463 | for(long i=0; i&)’: STMathExpression.cpp:500:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 500 | for(long i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 953 | for(long i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 957 | for(long i=0; i&) const’: STMathExpression.cpp:981:34: warning: comparison of integer expressions of different signedness: ‘const __gnu_cxx::__alloc_traits, long int>::value_type’ {aka ‘const long int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 981 | if(variableIDs[i]>=x.size()){ variableValues[i]=0; } STMathExpression.cpp: In member function ‘double MathExpression::operator()(const std::vector&, long int, ...) const’: STMathExpression.cpp:1044:34: warning: comparison of integer expressions of different signedness: ‘const __gnu_cxx::__alloc_traits, long int>::value_type’ {aka ‘const long int’} and ‘long unsigned int’ [-Wsign-compare] 1044 | if(variableIDs[i]>=x.size()+numberOfAdditionalVariables){ variableValues[i]=0; } STMathExpression.cpp:1045:39: warning: comparison of integer expressions of different signedness: ‘const __gnu_cxx::__alloc_traits, long int>::value_type’ {aka ‘const long int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1045 | else if(variableIDs[i] >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1195 | for(long i=0; i >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1202 | for(long i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1258 | for(long i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1269 | for(long n=0; n&)’: STMathExpression.cpp:1378:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1378 | for(long i=0; i&) const [with TYPE = long int; std::ostream = std::basic_ostream]’: STMathExpression.cpp:961:14: required from here 961 | printTuple(stream, stackArguments[i]); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ STMathExpression.cpp:1227:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1227 | for(long i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 334 | for(long i=0; i >&)’: phylogenetics_cpp_routines.cpp:357:46: warning: comparison of integer expressions of different signedness: ‘std::vector >::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 357 | while((max_Nparts<0) || (parts.size()::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 359 | if(pos==string::npos) break; | ~~~^~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:363:43: warning: comparison of integer expressions of different signedness: ‘std::vector >::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 363 | if((max_Nparts<0) || (parts.size()&, long int)’: phylogenetics_cpp_routines.cpp:460:28: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 460 | for(long n=start; n&)’: phylogenetics_cpp_routines.cpp:707:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 707 | for(long i=0; i&)’: phylogenetics_cpp_routines.cpp:722:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 722 | for(long i=0; i&)’: phylogenetics_cpp_routines.cpp:740:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 740 | for(long i=0; i&)’: phylogenetics_cpp_routines.cpp:747:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 747 | for(long i=0; i&)’: phylogenetics_cpp_routines.cpp:776:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 776 | for(long i=0; i&)’: phylogenetics_cpp_routines.cpp:807:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 807 | for(long i=0; i&, double)’: phylogenetics_cpp_routines.cpp:812:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 812 | for(long i=0; i&, double)’: phylogenetics_cpp_routines.cpp:819:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 819 | for(long i=0; i&)’: phylogenetics_cpp_routines.cpp:829:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 829 | for(long i=0; i&)’: phylogenetics_cpp_routines.cpp:882:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 882 | for(long i=0; i >&, const std::vector >&)’: phylogenetics_cpp_routines.cpp:902:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘const long unsigned int’ [-Wsign-compare] 902 | for(long level=0; level, long int>::value_type’ {aka ‘long int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 948 | if(pool2list[pool_index]==list2pool.size()-1){ phylogenetics_cpp_routines.cpp: In function ‘long int get_nearest_index(const std::vector&, long int)’: phylogenetics_cpp_routines.cpp:976:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 976 | for(long i=0; i<(haystack.size()-1); ++i){ | ~^~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp: In function ‘Rcpp::List dense_binary_matrix_row2column_major_CPP(long int, long int, const Rcpp::List&, bool)’: phylogenetics_cpp_routines.cpp:997:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 997 | for(long i=0; i >&, const lvector&, const dvector&, double, long int)’: phylogenetics_cpp_routines.cpp:1599:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1599 | for(long i=0; i&, const std::vector&, long int, const std::vector&, const std::string&, long int)’: phylogenetics_cpp_routines.cpp:2820:30: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2820 | for(long t=0, g=-1; t&, double, const std::vector&, long int, const std::vector&)’: phylogenetics_cpp_routines.cpp:3260:29: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3260 | for(long t=0, g=0; t&, const std::vector&, long int, const std::vector&)’: phylogenetics_cpp_routines.cpp:3287:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3287 | for(long t=0, g=0, p; t >&, const std::vector >&, const std::vector >&, double)’: phylogenetics_cpp_routines.cpp:5835:40: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 5835 | for(long r=0; r&, const double&, const std::vector&, const long int&, std::vector&, std::vector&, std::vector&)’: phylogenetics_cpp_routines.cpp:5915:19: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 5915 | for(k=0; k::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 5947 | for(long i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 8860 | for(long ng=0, og=0; ng::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 8897 | for(long ng=0, og=0; ng&, std::vector, bool, bool)’: phylogenetics_cpp_routines.cpp:9941:56: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 9941 | for(long k=0; k::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 9967 | for(long k=0; k::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 10929 | for(long t=0; t&, const std::vector&, std::vector&)’: phylogenetics_cpp_routines.cpp:12662:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 12662 | for(long q=0; q&, const std::vector&, const tree_traversal&, dvector&)’: phylogenetics_cpp_routines.cpp:12791:31: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 12791 | for(long q=0, clade; q&, const std::vector&, const std::vector&, bool, bool, const std::string&)’: phylogenetics_cpp_routines.cpp:12897:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 12897 | for(long t=0; t::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 12928 | for(long q=0; q&, const std::vector&, const std::vector&, bool, bool, const std::string&)’: phylogenetics_cpp_routines.cpp:13016:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13016 | for(long t=0; t::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13047 | for(long q=1; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13075 | for(long q=0; q&, const std::vector&, const std::vector&)’: phylogenetics_cpp_routines.cpp:13144:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13144 | for(long t=0; t::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13174 | for(long q=0; q&, const std::vector&, const std::vector&, bool, const std::string&)’: phylogenetics_cpp_routines.cpp:13266:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13266 | for(long q=0; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13286 | for(long q=0; q&, const std::vector&, const std::vector&, const std::vector&, bool, const std::string&)’: phylogenetics_cpp_routines.cpp:13397:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13397 | for(long q=0; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13417 | for(long q=0; q&, const std::vector&, long int, double, double, bool, long int, bool)’: phylogenetics_cpp_routines.cpp:13624:31: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13624 | for(long q=0, clade; q&, const std::vector&, const std::vector&, long int)’: phylogenetics_cpp_routines.cpp:13732:31: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13732 | for(long q=0, clade; q&, const std::vector&, double, double, const std::vector&, const std::vector&)’: phylogenetics_cpp_routines.cpp:13889:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13889 | for(long q=0; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13913 | for(long c=0; c::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13914 | for(long c=0; c&, const std::vector&, std::vector&)’: phylogenetics_cpp_routines.cpp:14066:45: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 14066 | for(long q=1, clade, pnode, cnode; q&, const std::vector&)’: phylogenetics_cpp_routines.cpp:14324:31: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 14324 | for(long q=0, clade; q&, long int, long int, long int)’: phylogenetics_cpp_routines.cpp:14493:16: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 14493 | while(k&, long int)’: phylogenetics_cpp_routines.cpp:14550:28: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 14550 | while(queue_pointer::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 14567 | for(long c=0, clade; c&, const std::vector&, long int)’: phylogenetics_cpp_routines.cpp:14615:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 14615 | for(long q=0; q&, const std::vector&, const std::vector&, bool, bool, bool, bool)’: phylogenetics_cpp_routines.cpp:15174:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 15174 | for(long c=0; c::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 15191 | for(long q=0; q, bool, const std::vector&, bool)’: phylogenetics_cpp_routines.cpp:16015:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 16015 | for(long t=0; t::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 16038 | for(long q=1, cnode, pnode; q, bool, const std::vector&, bool)’: phylogenetics_cpp_routines.cpp:16145:29: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 16145 | for(long t=0, tip; t::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 16159 | for(long q=1; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 16194 | for(long q=1; q&, const std::vector&, double)’: phylogenetics_cpp_routines.cpp:16461:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 16461 | for(long q=0; q&, const std::vector&, double, double)’: phylogenetics_cpp_routines.cpp:16571:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 16571 | for(long q=0; q&, const std::vector&, const std::vector&, bool, bool)’: phylogenetics_cpp_routines.cpp:16911:38: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 16911 | for(long n=0, node; n::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 16921 | for(long n=0, e, pnode, child; n::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 16985 | for(long q=0, clade, node, absorbing_ancestor, parent, child, e, edge, inedge; q&, const std::vector&, const std::vector&, const std::vector&, bool, const std::string&)’: phylogenetics_cpp_routines.cpp:17082:48: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 17082 | for(long s=0, clade, inedge, node, e; s::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 17105 | for(long q=1, clade, node, inedge, e; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 17139 | for(long q=1, clade, inedge; q&, const std::vector&, std::vector&)’: phylogenetics_cpp_routines.cpp:17475:31: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 17475 | for(long q=0, clade; q&, const std::vector >&, const std::vector >&, const std::string&, const std::string&, bool)’: phylogenetics_cpp_routines.cpp:17954:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 17954 | for(long f=0; f >::size_type’ {aka ‘long unsigned int’} and ‘long int’ [-Wsign-compare] 17955 | if(clade_taxonomies_split[fits[f]].size()==max_precision) precise_fits.push_back(fits[f]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp: In function ‘Rcpp::List tree_from_placements_CPP(long int, long int, long int, std::vector, std::vector, const std::vector&, const std::vector&, const std::vector&)’: phylogenetics_cpp_routines.cpp:17991:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 17991 | for(long i=0; i&, long int, long int, long int, const std::vector&, const std::vector&)’: phylogenetics_cpp_routines.cpp:18189:38: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 18189 | for(long m=0, Tnode, Rnode; m&, long int, long int, const std::vector&, const std::vector&)’: phylogenetics_cpp_routines.cpp:18419:60: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 18419 | for(long fb=0, fa=-1, f; fb relative_to_absolute_node_ages_CPP(long int, long int, long int, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&)’: phylogenetics_cpp_routines.cpp:18475:44: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 18475 | for(long q=1, clade, node, pnode; q propagate_min_ages_upstream_CPP(long int, long int, long int, const std::vector&, const std::vector&, const std::vector&, const std::vector&)’: phylogenetics_cpp_routines.cpp:18499:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 18499 | for(long a=0; a propagate_max_ages_downstream_CPP(long int, long int, long int, const std::vector&, const std::vector&, const std::vector&, const std::vector&)’: phylogenetics_cpp_routines.cpp:18528:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 18528 | for(long a=0; a::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 18533 | for(long q=0, clade, node, pnode; q, const std::vector&)’: phylogenetics_cpp_routines.cpp:18595:39: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 18595 | for(long q=1, clade, parent; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 18612 | for(long q=0, clade, node; q&, const std::vector&, const std::vector&, double, bool, bool, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, double, bool, std::vector&, std::vector&, std::vector&, double&, double&, double&, double&, long int&, std::vector&, bool, const std::string&)’: phylogenetics_cpp_routines.cpp:19209:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 19209 | for(long q=0; q&, const std::vector&, const std::vector&, double, bool, bool, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, double, std::vector&, double&, double&, double&, double&, long int&, std::vector&, std::vector&, std::vector&, std::vector&, std::vector&, bool, const std::string&)’: phylogenetics_cpp_routines.cpp:19522:40: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 19522 | for(long q=0, dominant_state; q&, const std::vector&, bool, const std::string&)’: phylogenetics_cpp_routines.cpp:20571:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 20571 | for(long q=0, parent; q&, const std::vector&)’: phylogenetics_cpp_routines.cpp:20642:26: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 20642 | for(long fc=0; fc::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 20648 | for(long fc=0; fc&, const std::vector&, const std::vector&, bool, const std::string&)’: phylogenetics_cpp_routines.cpp:20776:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 20776 | for(long q=0; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 20795 | for(long q=0; q&, const std::vector&)’: phylogenetics_cpp_routines.cpp:20931:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 20931 | for(long t=0; t&, const std::vector&, const std::vector&, const std::vector&, double, bool, bool, const std::string&)’: phylogenetics_cpp_routines.cpp:21161:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 21161 | for(long q=0; q&, const std::vector&, const std::vector&, const Rcpp::ComplexVector&, const Rcpp::ComplexVector&, const Rcpp::ComplexVector&, const std::vector&, const std::string&, const std::vector&, bool, bool, double, double, long int, bool)’: phylogenetics_cpp_routines.cpp:21523:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 21523 | for(long n=0; n::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 21564 | for(long q=0, new_root; q&, const std::vector&, const std::vector&, double, long int, Rcpp::LogicalVector, std::vector, bool)’: phylogenetics_cpp_routines.cpp:21968:37: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 21968 | for(long q=0, node, clade; q&, std::vector, std::vector)’: phylogenetics_cpp_routines.cpp:22024:37: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22024 | for(long q=0, node, clade; q&, const std::vector&, const std::vector&, bool)’: phylogenetics_cpp_routines.cpp:22198:42: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22198 | for(long q=0, new_root; q&, const std::vector&, const std::vector&, bool)’: phylogenetics_cpp_routines.cpp:22459:30: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 22459 | if(node_states.size()>Nnodes) node_states.resize(Nnodes); | ~~~~~~~~~~~~~~~~~~^~~~~~~ phylogenetics_cpp_routines.cpp:22460:39: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 22460 | if(node_standard_errors.size()>Nnodes) node_standard_errors.resize(Nnodes); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ phylogenetics_cpp_routines.cpp:22461:29: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 22461 | if(node_CI95s.size()>Nnodes) node_CI95s.resize(Nnodes); | ~~~~~~~~~~~~~~~~~^~~~~~~ phylogenetics_cpp_routines.cpp: In function ‘Rcpp::NumericVector apply_BM_parsimony_to_missing_clades_CPP(long int, long int, long int, const std::vector&, Rcpp::LogicalVector, std::vector)’: phylogenetics_cpp_routines.cpp:22502:37: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22502 | for(long q=0, node, clade; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22537 | for(long i=0, tip; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22556 | for(long i=0, tip; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22576 | for(long i=0, tip; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22781 | for(long s=0; s::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22795 | for(long s=0; s::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22887 | for(long i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22900 | for(long i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22905 | for(long i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22925 | for(long s=0; s::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22947 | for(long s=0; s::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22970 | for(long s=0; s::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22994 | for(long s=0; s::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 23177 | for(long s=0; s::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 23190 | for(long s=0; s::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 23207 | for(long s=0; s::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 23229 | for(long s=0; s&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, double, double, double, double, double, double, bool, std::vector >&, std::string&, double&, long int&, MuSSEmodelE&, MuSSEmodelD&, std::vector > >&, std::vector >&)’: phylogenetics_cpp_routines.cpp:23478:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 23478 | for(long a=0; a&, const std::vector&, const std::vector&, std::vector, const std::vector&, double, double, double, double, long int, double, bool)’: phylogenetics_cpp_routines.cpp:24303:40: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 24303 | for(long i=0; i&, const std::vector&, const std::vector&, const std::vector&, bool, bool, long int)’: phylogenetics_cpp_routines.cpp:26559:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 26559 | for(long q=0; q&, const std::vector&, double, double, double, bool, bool, long int)’: phylogenetics_cpp_routines.cpp:26639:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 26639 | for(long q=0; q&, const std::vector&, double, double, double, bool, bool, long int)’: phylogenetics_cpp_routines.cpp:26721:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 26721 | for(long q=0; q&, const std::vector&, const std::vector&, double, bool, bool, long int)’: phylogenetics_cpp_routines.cpp:26792:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 26792 | for(long q=0; q&, const std::vector&, const std::vector&, const std::vector&, bool, bool, long int)’: phylogenetics_cpp_routines.cpp:26872:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 26872 | for(long q=0; q&, const std::vector&, const std::vector&, double, bool, bool, bool, long int)’: phylogenetics_cpp_routines.cpp:26964:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 26964 | for(long q=0; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 27076 | for(long i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 27079 | for(long i=0; i::size_type’ {aka ‘long unsigned int’} and ‘long int’ [-Wsign-compare] 27085 | if(only_sampled_tips && (sampled_tips.size()::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 27122 | for(long new_clade=0; new_clade::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 27128 | for(long i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 27131 | for(long i=0; i&, const std::vector&, const std::vector&, bool, bool, long int, bool, bool, bool, bool)’: phylogenetics_cpp_routines.cpp:27217:75: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const long int’ [-Wsign-compare] 27217 | while(((max_tips<=0) || ((coalescent ? extant_tips.size() : Ntips)::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 27217 | while(((max_tips<=0) || ((coalescent ? extant_tips.size() : Ntips)&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, long int, const std::vector&, const std::vector&, const std::vector&, bool, bool, double, bool, bool, bool, bool)’: phylogenetics_cpp_routines.cpp:27432:100: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 27432 | while(((max_tips<=0) || (Ntips::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 27432 | while(((max_tips<=0) || (Ntips::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 27432 | while(((max_tips<=0) || (Ntips::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 27618 | for(long nc=0; nc::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 27625 | for(long nc=0; nc::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 27632 | for(long nc=0; nc&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, bool, bool, bool, bool, bool, bool)’: phylogenetics_cpp_routines.cpp:28941:34: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 28941 | for(long nc=0; nc::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 28947 | for(long nc=0; nc::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 28952 | for(long nc=0; nc&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, long int, bool, long int, bool, bool, bool, bool)’: phylogenetics_cpp_routines.cpp:29620:38: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 29620 | for(long stip=0; stip&, double, EdgeLengthUnit, double, double, long int, std::vector&, long int&, std::vector&, std::vector&, std::vector&, std::vector&, std::vector&)’: phylogenetics_cpp_routines.cpp:29864:44: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘long int’ [-Wsign-compare] 29864 | if(clade2tail_length.size()<=next_clade) clade2tail_length.resize(next_clade+1); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:29866:42: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘long int’ [-Wsign-compare] 29866 | if(clade2tail_time.size()<=next_clade) clade2tail_time.resize(next_clade+1); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:29875:41: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 29875 | for(long orphan=0, clade; orphan&, std::vector&, long int&, std::vector&, std::vector&, std::vector&)’: phylogenetics_cpp_routines.cpp:29928:40: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘long int’ [-Wsign-compare] 29928 | if(clade_heights.size()<=next_clade) clade_heights.resize(next_clade+1); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ phylogenetics_cpp_routines.cpp: In function ‘bool generate_gene_tree_in_species_tree_MSC(long int, long int, long int, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::string&, long int, bool, bool, long int, long int&, long int&, long int&, long int&, std::vector&, std::vector&, std::vector&, std::vector&, std::vector&, std::string&)’: phylogenetics_cpp_routines.cpp:29978:64: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 29978 | const bool got_allele_counts = (allele_counts.size()==NStips); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~ phylogenetics_cpp_routines.cpp:29979:67: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 29979 | const bool got_population_sizes = (population_sizes.size()==NSclades); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ phylogenetics_cpp_routines.cpp:29980:67: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 29980 | const bool got_generation_times = (generation_times.size()==NSclades); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ phylogenetics_cpp_routines.cpp:29981:65: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 29981 | const bool got_mutation_rates = (mutation_rates.size()==NSclades); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ phylogenetics_cpp_routines.cpp:30007:31: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 30007 | for(long q=0, clade; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 30024 | for(allele=0; allele::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 30109 | for(long orphan=0; orphan&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::string&, long int, bool, bool, long int, bool, bool, double, double, bool)’: phylogenetics_cpp_routines.cpp:30263:83: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 30263 | const bool got_population_sizes = (population_sizes.size()==NSclades); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ phylogenetics_cpp_routines.cpp:30264:83: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 30264 | const bool got_generation_times = (generation_times.size()==NSclades); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ phylogenetics_cpp_routines.cpp:30265:81: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 30265 | const bool got_mutation_rates = (mutation_rates.size()==NSclades); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ phylogenetics_cpp_routines.cpp:30266:80: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 30266 | const bool got_allele_counts = (allele_counts.size()==NStips); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~ phylogenetics_cpp_routines.cpp:30267:84: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 30267 | const bool got_HGT_rates = (HGT_rates.size()==NSclades); | ~~~~~~~~~~~~~~~~^~~~~~~~~~ phylogenetics_cpp_routines.cpp:30268:84: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 30268 | const bool got_duplication_rates = (duplication_rates.size()==NSclades); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ phylogenetics_cpp_routines.cpp:30269:85: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 30269 | const bool got_loss_rates = (loss_rates.size()==NSclades); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~ phylogenetics_cpp_routines.cpp:30290:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 30290 | for(long q=0; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 30297 | for(long q=0, clade; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 30400 | for(long l=0, locus, new_locus; l::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 30426 | for(long l=0, locus; l&, const std::vector&, double, double, double, double, dvector&, dvector&)’: phylogenetics_cpp_routines.cpp:31245:48: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31245 | for(long q=0, parent, child, e, edge; q&, double, double, double, double)’: phylogenetics_cpp_routines.cpp:31361:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31361 | for(long t=1; t::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31834 | for(long p=0; p&, const std::vector&, const std::vector&, double, long int)’: phylogenetics_cpp_routines.cpp:31876:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31876 | for(long d=0; d&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, long int, long int, const std::vector&, double, long int)’: phylogenetics_cpp_routines.cpp:31914:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31914 | for(long d=0; d&)’: phylogenetics_cpp_routines.cpp:32076:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 32076 | for(long p=0; p >::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 32557 | if(parts.size()<=distances_column){ | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:32585:56: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 32585 | if((max_Nedges>=0) && (distances.size()>=max_Nedges)) break; | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~ phylogenetics_cpp_routines.cpp: In instantiation of ‘void multiply_array_with_scalar(ARRAY_TYPE&, double) [with ARRAY_TYPE = std::vector]’: phylogenetics_cpp_routines.cpp:5326:29: required from here 5326 | multiply_array_with_scalar(A,factor); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ phylogenetics_cpp_routines.cpp:580:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 580 | for(long i=0; i]’: phylogenetics_cpp_routines.cpp:5521:34: required from here 5521 | epsilon /= get_norm_L2_of_vector(balances) * get_norm_L2_of_inverted_vector(balances); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ phylogenetics_cpp_routines.cpp:4927:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 4927 | for(long i=0; i]’: phylogenetics_cpp_routines.cpp:5521:77: required from here 5521 | epsilon /= get_norm_L2_of_vector(balances) * get_norm_L2_of_inverted_vector(balances); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ phylogenetics_cpp_routines.cpp:4935:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 4935 | for(long i=0; i&) [with TYPE = long int]’: phylogenetics_cpp_routines.cpp:8734:48: required from here 8734 | const long NR = (end_c-start_c+1) + vector_sum(dN); | ~~~~~~~~~~^~~~ phylogenetics_cpp_routines.cpp:692:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 692 | for(long i=0; i maxError) && (impCount&, const std::vector&, long int, long int, double, bool, bool, REAL_TYPE&, REAL_TYPE&, REAL_TYPE&, long int&) [with REAL_TYPE = double]’: phylogenetics_cpp_routines.cpp:9326:40: required from here 9326 | if(fitLeastSquares_affine_real_scalar(X, logY, start, end, Xshift[n], false, false, A[n], rate[n], RSS, count[n])){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:9188:21: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 9188 | if((x.size()<=end) || (y.size()<=end)) return false; | ~~~~~~~~~^~~~~~ phylogenetics_cpp_routines.cpp:9188:40: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 9188 | if((x.size()<=end) || (y.size()<=end)) return false; | ~~~~~~~~~^~~~~~ phylogenetics_cpp_routines.cpp: In instantiation of ‘std::vector& operator*=(std::vector&, double) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:9760:24: required from here 9760 | Acoeff *= (Ngrid-1.0)/Aend; | ^~~~ phylogenetics_cpp_routines.cpp:3450:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3450 | for(long i=0; i&, std::vector&, std::vector&, std::vector&, bool, const std::string&) [with ARRAY_TYPE = std::vector; std::string = std::__cxx11::basic_string]’: phylogenetics_cpp_routines.cpp:12143:33: required from here 12143 | get_tree_traversal_root_to_tips(Ntips, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ 12144 | Nnodes, | ~~~~~~~ 12145 | Nedges, | ~~~~~~~ 12146 | -1, | ~~~ 12147 | tree_edge, | ~~~~~~~~~~ 12148 | include_tips, | ~~~~~~~~~~~~~ 12149 | false, | ~~~~~~ 12150 | queue, | ~~~~~~ 12151 | node2first_edge, | ~~~~~~~~~~~~~~~~ 12152 | node2last_edge, | ~~~~~~~~~~~~~~~ 12153 | edges, | ~~~~~~ 12154 | false, | ~~~~~~ 12155 | ""); | ~~~ phylogenetics_cpp_routines.cpp:12116:28: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 12116 | while(queue_pointer&) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:12801:36: required from here 12801 | const double root_age = vector_max(ages); | ~~~~~~~~~~^~~~~~ phylogenetics_cpp_routines.cpp:770:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 770 | for(long i=0; i&, std::vector&) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:13898:14: required from here 13898 | qsortIndices(distances_from_root, chronological_clade_order); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:1071:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1071 | for(long n=0; n&) [with TYPE = long int]’: phylogenetics_cpp_routines.cpp:14197:33: required from here 14197 | const long Nsplits = vector_max(node2child_count); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:770:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 770 | for(long i=0; i&) [with ARRAY_TYPE = std::vector]’: phylogenetics_cpp_routines.cpp:14866:30: required from here 14866 | sort_tree_edges_root_to_tips( Ntips, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 14867 | Nnodes, | ~~~~~~~ 14868 | Nedges, | ~~~~~~~ 14869 | depth_first_search, | ~~~~~~~~~~~~~~~~~~~ 14870 | root_to_tips, | ~~~~~~~~~~~~~ 14871 | tree_edge, | ~~~~~~~~~~ 14872 | new2old_edge); | ~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:14838:36: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 14838 | while(queue_pointer&, std::vector&, std::vector&, long int&, double&) [with ARRAY_INT = std::vector; ARRAY_DOUBLE = std::vector; lvector = std::vector]’: phylogenetics_cpp_routines.cpp:15102:40: required from here 15102 | get_tree_with_collapsed_monofurcations( Ntips, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ 15103 | Nnodes, | ~~~~~~~ 15104 | Nedges, | ~~~~~~~ 15105 | root, | ~~~~~ 15106 | force_keep_root, | ~~~~~~~~~~~~~~~~ 15107 | force_keep_nodes, | ~~~~~~~~~~~~~~~~~ 15108 | tree_edge, | ~~~~~~~~~~ 15109 | edge_length, | ~~~~~~~~~~~~ 15110 | new_tree_edge, | ~~~~~~~~~~~~~~ 15111 | new_edge_length, | ~~~~~~~~~~~~~~~~ 15112 | new2old_node, | ~~~~~~~~~~~~~ 15113 | new_root, | ~~~~~~~~~ 15114 | root_shift); | ~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:14998:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 14998 | for(long fn=0, node; fn::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 15012 | for(long q=0; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 15035 | for(long q=0; q&, std::vector&, std::vector&, long int&, long int&, long int&, long int&, long int&, double&) [with ARRAY_INT = std::vector; ARRAY_DOUBLE = std::vector; lvector = std::vector]’: phylogenetics_cpp_routines.cpp:15714:32: required from here 15714 | get_subtree_with_specific_tips( Ntips, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ 15715 | Nnodes, | ~~~~~~~ 15716 | Nedges, | ~~~~~~~ 15717 | tree_edge, | ~~~~~~~~~~ 15718 | edge_length, | ~~~~~~~~~~~~ 15719 | tips_to_keep, | ~~~~~~~~~~~~~ 15720 | collapse_monofurcations, | ~~~~~~~~~~~~~~~~~~~~~~~~ 15721 | force_keep_root, | ~~~~~~~~~~~~~~~~ 15722 | lvector(), | ~~~~~~~~~~ 15723 | new_tree_edge, | ~~~~~~~~~~~~~~ 15724 | new_edge_length, | ~~~~~~~~~~~~~~~~ 15725 | new2old_clade, | ~~~~~~~~~~~~~~ 15726 | new_root, | ~~~~~~~~~ 15727 | old_stem_edge, | ~~~~~~~~~~~~~~ 15728 | Ntips_kept, | ~~~~~~~~~~~ 15729 | Nnodes_kept, | ~~~~~~~~~~~~ 15730 | Nedges_kept, | ~~~~~~~~~~~~ 15731 | root_shift); | ~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:15572:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 15572 | for(long t=0; t::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 15575 | for(long fn=0; fn::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 15648 | for(long fn=0, new_clade; fn; ARRAY_TYPE_D = std::vector; dvector = std::vector]’: phylogenetics_cpp_routines.cpp:16941:26: required from here 16941 | get_distances_from_root(Ntips, Nnodes, Nedges, tree_edge, edge_length, traversal, clade_times); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:12742:31: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 12742 | for(long q=0, clade; q&, TYPE2, long int) [with TYPE1 = long int; TYPE2 = long int]’: phylogenetics_cpp_routines.cpp:18421:33: required from here 18421 | fa = find_in_ascending_list(membershipsA[nodeA],f,fa+1); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:486:28: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 486 | for(long n=start; n operator/(std::vector, double) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:22770:19: required from here 22770 | shape = initial/initial_mean; | ^~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:3532:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3532 | for(long i=0; i operator*(std::vector, double) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:22833:27: required from here 22833 | rateY = YA - currentY*rateS; | ^~~~~ phylogenetics_cpp_routines.cpp:3432:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3432 | for(long i=0; i operator-(std::vector, const std::vector&) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:22833:27: required from here 22833 | rateY = YA - currentY*rateS; | ^~~~~ phylogenetics_cpp_routines.cpp:3486:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3486 | for(long i=0; i operator+(std::vector, const std::vector&) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:22942:66: required from here 22942 | candidate_state = previous_state*(1-lambda) + candidate_state*lambda; | ^~~~~~ phylogenetics_cpp_routines.cpp:3459:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3459 | for(long i=0; i&) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:23006:22: required from here 23006 | return contains_nan(state); | ~~~~~~~~~~~~^~~~~~~ phylogenetics_cpp_routines.cpp:865:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 865 | for(long i=0; i& operator*=(std::vector&, const std::vector&) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:23366:32: required from here 23366 | posteriors[node] *= modelD.initial; | ^~~~~~~ phylogenetics_cpp_routines.cpp:3423:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3423 | for(long i=0; i&) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:23387:30: required from here 23387 | const double S = vector_sum(posteriors[node]); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:692:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 692 | for(long i=0; i& operator/=(std::vector&, double) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:23388:23: required from here 23388 | posteriors[node] /= S; | ^ phylogenetics_cpp_routines.cpp:3541:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3541 | for(long i=0; i operator*(std::vector, const std::vector&) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:23396:56: required from here 23396 | loglikelihood += log(vector_sum(posteriors[root_node]*root_prior)); | ^~~~~~~~~~ phylogenetics_cpp_routines.cpp:3414:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3414 | for(long i=0; i&, const std::vector&) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:23906:38: required from here 23906 | loglikelihood += log(scalar_product(substem_D,substem_prior)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:715:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘const long unsigned int’ [-Wsign-compare] 715 | for(long i=0; i& operator-=(std::vector&, const std::vector&) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:24305:83: required from here 24305 | dvector coarse_diversification_rates = lambdas; coarse_diversification_rates -= mus; | ^~~ phylogenetics_cpp_routines.cpp:3504:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3504 | for(long i=0; i abs(std::vector) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:24925:48: required from here 24925 | dvector coarse_abs_diversification_rates = abs(coarse_diversification_rates); | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:3550:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3550 | for(long i=0; i::getMaxAbs() const [with VALUE_TYPE = double]’: phylogenetics_cpp_routines.cpp:25417:26: required from here 25417 | return lambda.getMaxAbs() + mu.getMaxAbs() + psi.getMaxAbs(); | ~~~~~~~~~~~~~~~~^~ phylogenetics_cpp_routines.cpp:2646:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2646 | for(long i=0; i::getMaxAbs(double, double) const [with VALUE_TYPE = double]’: phylogenetics_cpp_routines.cpp:25422:26: required from here 25422 | return lambda.getMaxAbs(start_time,end_time) + mu.getMaxAbs(start_time,end_time) + psi.getMaxAbs(start_time,end_time); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:2657:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2657 | for(long i=0; i& operator+=(std::vector&, const TYPE&) [with TYPE = long int]’: phylogenetics_cpp_routines.cpp:25845:20: required from here 25845 | NCSAcrossings += 1l; | ^~ phylogenetics_cpp_routines.cpp:3477:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3477 | for(long i=0; i operator-(std::vector, const TYPE&) [with TYPE = long int]’: phylogenetics_cpp_routines.cpp:27088:52: required from here 27088 | lvector force_keep_nodes = sampled_node_clades - Ntips; | ^~~~~ phylogenetics_cpp_routines.cpp:3495:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3495 | for(long i=0; i&, long int) [with TYPE = long int]’: phylogenetics_cpp_routines.cpp:27554:27: required from here 27554 | remove_item_from_vector(extant_tips, tip); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:918:17: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 918 | if(index==list.size()-1){ | ~~~~~^~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp: In instantiation of ‘void simulate_SBM_on_tree(long int, long int, long int, const std::vector&, const std::vector&, double, const DFUNCTOR&, double, double, dvector&, dvector&) [with DFUNCTOR = PiecewisePolynomial; dvector = std::vector]’: phylogenetics_cpp_routines.cpp:31394:22: required from here 31394 | simulate_SBM_on_tree( Ntips, | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 31395 | Nnodes, | ~~~~~~~ 31396 | Nedges, | ~~~~~~~ 31397 | tree_edge, | ~~~~~~~~~~ 31398 | edge_length, | ~~~~~~~~~~~~ 31399 | radius, | ~~~~~~~ 31400 | diffusivity_integral, | ~~~~~~~~~~~~~~~~~~~~~ 31401 | root_theta, | ~~~~~~~~~~~ 31402 | root_phi, | ~~~~~~~~~ 31403 | clade_theta, | ~~~~~~~~~~~~ 31404 | clade_phi); | ~~~~~~~~~~ phylogenetics_cpp_routines.cpp:31296:48: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31296 | for(long q=0, parent, child, e, edge; q&, TYPE2) [with TYPE1 = double; TYPE2 = double]’: phylogenetics_cpp_routines.cpp:5400:27: required from ‘long int min_polynomials_for_positive_exponential_of_irreducible_matrix(long int, const ARRAY_TYPE&) [with ARRAY_TYPE = std::vector]’ 5400 | if(find_first_occurrence(sum_of_powers, 0.0)<0) return (p+1); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:21465:94: required from here 21465 | const long min_polynomials = min_polynomials_for_positive_exponential_of_irreducible_matrix(Nstates, transition_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:468:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 468 | for(long n=0; n operator*(double, std::vector) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:10194:64: required from ‘LinearInterpolationFunctor::LinearInterpolationFunctor(const std::vector&, const std::vector&, bool, const VALUE_TYPE&, const VALUE_TYPE&, bool, double) [with VALUE_TYPE = std::vector]’ 10194 | referenceValues[0] = referenceValues[referenceCount-1] = 0.5*(referenceValues[0] + referenceValues[referenceCount-1]); | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:23339:141: required from here 23339 | modelD.E = LinearInterpolationFunctor(modelE.ages,modelE.trajectory,false,modelE.trajectory[0],modelE.trajectory.back(),true,0); | ^ phylogenetics_cpp_routines.cpp:3441:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3441 | for(long i=0; i&, double, const std::vector&, std::vector&) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:7458:21: required from ‘bool RungeKutta2(double, double, double, MODEL&, double, double, double, double, long int, double, const PROGRESS_REPORTER&, double, std::string&) [with COORDINATE = std::vector; MODEL = MuSSEmodelE; PROGRESS_REPORTER = ProgressReporter; std::string = std::__cxx11::basic_string]’ 7458 | linear_combination(1.0,currentPoint,current_dt1,k1,point2); // point2 = currentPoint + k1*current_dt1; | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:23441:9: required from here 23440 | bool success = RungeKutta2 | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 23441 | (0, // start_time | ^~~~~~~~~~~~~~~~~ 23442 | oldest_age, // end_time | ~~~~~~~~~~~~~~~~~~~~~~~ 23443 | max(0.000001*oldest_age,min(0.2*oldest_age,relative_ODE_step/maxErate)), // default integration time step | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 23444 | modelE, | ~~~~~~~ 23445 | minRecordingTimeStep, | ~~~~~~~~~~~~~~~~~~~~~ 23446 | maxRecordingTimeStep, | ~~~~~~~~~~~~~~~~~~~~~ 23447 | guessNrecordings, | ~~~~~~~~~~~~~~~~~ 23448 | E_value_step, // recordingRelValueStep | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 23449 | 5, // maxTimeStepRefinements | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 23450 | 4, // refinement_factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 23451 | ProgressReporter(true), | ~~~~~~~~~~~~~~~~~~~~~~~ 23452 | (runtime_out_seconds>0 ? max(runtime_out_seconds*0.01, runtime_out_seconds+start_runtime-get_thread_monotonic_walltime_seconds()) : 0.0), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 23453 | warningMessage); | ~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:431:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for(long i=0; i&, const std::vector&)’: phylogenetics_cpp_routines.cpp:1322:25: warning: ‘t1’ may be used uninitialized [-Wmaybe-uninitialized] 1322 | W += (t2-t1) * abs(CDFY-CDFX); | ~~~^~~~ phylogenetics_cpp_routines.cpp:1306:32: note: ‘t1’ was declared here 1306 | double CDFX=0, CDFY=0, t1, t2; | ^~ phylogenetics_cpp_routines.cpp: In function ‘double solve_polynomial_via_bisection(const double*, long int, double, double, double, double, double, double, long int)’: phylogenetics_cpp_routines.cpp:2260:16: warning: ‘c’ may be used uninitialized [-Wmaybe-uninitialized] 2260 | return c; // did not converge, but the last c is the best estimate | ^ phylogenetics_cpp_routines.cpp:2206:36: note: ‘c’ was declared here 2206 | double a = Xmin, b = Xmax, c; | ^ phylogenetics_cpp_routines.cpp: In function ‘double legendre_polynomial(long int, double)’: phylogenetics_cpp_routines.cpp:30948:16: warning: ‘Pn’ may be used uninitialized [-Wmaybe-uninitialized] 30948 | return Pn; | ^~ phylogenetics_cpp_routines.cpp:30942:16: note: ‘Pn’ was declared here 30942 | double Pn; | ^~ phylogenetics_cpp_routines.cpp: In function ‘double solve_piecewise_polynomial_bisection(const dvector&, const dvector&, long int, bool, double, double, double, bool, double, double, long int, long int&, long int&)’: phylogenetics_cpp_routines.cpp:2343:16: warning: ‘c’ may be used uninitialized [-Wmaybe-uninitialized] 2343 | return c; // did not converge, but the last c is the best estimate | ^ phylogenetics_cpp_routines.cpp:2281:36: note: ‘c’ was declared here 2281 | double a = Xmin, b = Xmax, c; | ^ phylogenetics_cpp_routines.cpp: In function ‘double solve_piecewise_polynomial_sum_bisection(const dvector&, const std::vector >&, const lvector&, bool, const dvector&, double, double, double, bool, double, double, long int, long int&, long int&)’: phylogenetics_cpp_routines.cpp:2440:16: warning: ‘c’ may be used uninitialized [-Wmaybe-uninitialized] 2440 | return c; // did not converge, but the last c is the best estimate | ^ phylogenetics_cpp_routines.cpp:2373:36: note: ‘c’ was declared here 2373 | double a = Xmin, b = Xmax, c; | ^ phylogenetics_cpp_routines.cpp: In function ‘bool get_dominant_eigenvalue(long int, const dvector&, long int, double, dvector&, double&)’: phylogenetics_cpp_routines.cpp:6031:37: warning: ‘error’ may be used uninitialized [-Wmaybe-uninitialized] 6031 | return (best_error&, double, const std::vector&, const std::vector&, long int, const std::string&, double, double)’: phylogenetics_cpp_routines.cpp:25359:51: warning: ‘W_degree’ may be used uninitialized [-Wmaybe-uninitialized] 25359 | const double origin_W = polynomial_value(W_degree,&refined_W_coeff[origin_rg*(W_degree+1)],oldest_age-age_offset); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:25287:24: note: ‘W_degree’ was declared here 25287 | long I_degree, W_degree, NRG; | ^~~~~~~~ phylogenetics_cpp_routines.cpp: In function ‘Rcpp::List HBD_PDR_loglikelihood_CPP(const std::vector&, double, double, const std::vector&, const std::vector&, long int, const std::string&, double, double, std::vector, long int)’: phylogenetics_cpp_routines.cpp:25186:102: warning: ‘Zdegree’ may be used uninitialized [-Wmaybe-uninitialized] 25186 | branching_Z = polynomial_value(Zdegree, &Zcoeff[d][current_g*(Zdegree+1)], branching_age-age_offset); | ~~~~~~~~^~~ phylogenetics_cpp_routines.cpp:25152:14: note: ‘Zdegree’ was declared here 25152 | long Zdegree, EZdegree, Wdegree; | ^~~~~~~ phylogenetics_cpp_routines.cpp:25187:102: warning: ‘Wdegree’ may be used uninitialized [-Wmaybe-uninitialized] 25187 | branching_W = polynomial_value(Wdegree, &Wcoeff[d][current_g*(Wdegree+1)], branching_age-age_offset); | ~~~~~~~~^~~ phylogenetics_cpp_routines.cpp:25152:33: note: ‘Wdegree’ was declared here 25152 | long Zdegree, EZdegree, Wdegree; | ^~~~~~~ phylogenetics_cpp_routines.cpp: In function ‘bool LUDecomposition(TYPE*, long unsigned int, long unsigned int*, int&) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:4658:17: warning: ‘imax’ may be used uninitialized [-Wmaybe-uninitialized] 4658 | if(j != imax){ | ^~ phylogenetics_cpp_routines.cpp:4626:16: note: ‘imax’ was declared here 4626 | long i,imax,j,k; | ^~~~ phylogenetics_cpp_routines.cpp: In member function ‘void TreeSpeciationExtinctionModel::get_coalescent_trajectory(double, double, std::vector&) const’: phylogenetics_cpp_routines.cpp:10918:96: warning: ‘coalescent_diversity_at_resolution_age’ may be used uninitialized [-Wmaybe-uninitialized] 10918 | coalescent[t].Pmissing = coalescent_diversity_at_resolution_age/coalescent[t].diversity; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:10895:59: note: ‘coalescent_diversity_at_resolution_age’ was declared here 10895 | double total_diversity_at_resolution_age, coalescent_diversity_at_resolution_age; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp: In function ‘Rcpp::List simulate_fixed_rates_Markov_model_CPP(long int, long int, long int, long int, const std::vector&, const std::vector&, const std::vector&, const std::vector&, bool, bool, long int)’: phylogenetics_cpp_routines.cpp:26558:27: warning: ‘parent’ may be used uninitialized [-Wmaybe-uninitialized] 26558 | long clade, edge, parent, parent_state, state=0; | ^~~~~~ phylogenetics_cpp_routines.cpp: In function ‘Rcpp::List get_trait_richness_collectors_curve_CPP(long int, long int, long int, long int, long int, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, long int, const std::string&, bool)’: phylogenetics_cpp_routines.cpp:20142:49: warning: ‘tip’ may be used uninitialized [-Wmaybe-uninitialized] 20142 | tip_included[tip] = true; | ^ phylogenetics_cpp_routines.cpp:20005:14: note: ‘tip’ was declared here 20005 | long tip, clade, count_tips_remaining; | ^~~ In function ‘long int uniformIntWithin(long int, long int)’, inlined from ‘Rcpp::List get_trait_richness_collectors_curve_CPP(long int, long int, long int, long int, long int, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, long int, const std::string&, bool)’ at phylogenetics_cpp_routines.cpp:20102:41: phylogenetics_cpp_routines.cpp:3574:72: warning: ‘count_tips_remaining’ may be used uninitialized [-Wmaybe-uninitialized] 3574 | return min(maximum, (long) floor(minimum + (maximum-minimum+1) * R::runif(0.0,1.0))); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp: In function ‘Rcpp::List get_trait_richness_collectors_curve_CPP(long int, long int, long int, long int, long int, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, long int, const std::string&, bool)’: phylogenetics_cpp_routines.cpp:20005:26: note: ‘count_tips_remaining’ was declared here 20005 | long tip, clade, count_tips_remaining; | ^~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp: In function ‘Rcpp::List get_HBDS_model_loglikelihood_CPP(const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, double, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, long int, const std::string&, double, double, double)’: phylogenetics_cpp_routines.cpp:25908:110: warning: ‘logPhi_degree’ may be used uninitialized [-Wmaybe-uninitialized] 25908 | CSA_logPhi = polynomial_value(logPhi_degree, &logPhi_coeff[k][sg*(logPhi_degree+1)], age-(splines_slideX ? Phi_ages[k][sg] : 0.0)); | ~~~~~~~~~~~~~~^~~ phylogenetics_cpp_routines.cpp:25794:42: note: ‘logPhi_degree’ was declared here 25794 | long dummyL1, dummyL2, I_degree, logPhi_degree, E_degree; | ^~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp: In function ‘Rcpp::List find_edge_splitting_tree_CPP(long int, long int, long int, std::vector, bool, const std::vector&, bool)’: phylogenetics_cpp_routines.cpp:16205:108: warning: ‘best_Ntargets_upstream’ may be used uninitialized [-Wmaybe-uninitialized] 16205 | else if((!descends_from_best_edge[tip]) && (Ntargets_downstream_per_clade[tip]==1) && (!targets_should_be_upstream)) misplaced_targets.push_back(tip); // misplaced upstream target | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:16167:30: note: ‘best_Ntargets_upstream’ was declared here 16167 | long best_edge = -1, best_Ntargets_upstream, best_Ntargets_downstream, best_Nmisplaced_targets, best_Nmisplaced_nontargets; | ^~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp: In function ‘Rcpp::List simulate_deterministic_diversity_growth_CPP(double, double, double, double, double, double, double, double, long int, const std::vector&, const std::vector&, const std::vector&, bool, const std::vector&, double, double, double, double, bool, bool, bool, bool, bool, bool, double)’: phylogenetics_cpp_routines.cpp:11139:86: warning: ‘Pmissing_at_resolution_age’ may be used uninitialized [-Wmaybe-uninitialized] 11139 | const double effective_rarefaction = rarefaction * (1-Pmissing_at_resolution_age); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:11114:24: note: ‘Pmissing_at_resolution_age’ was declared here 11114 | double Pmissing_at_resolution_age, total_diversity_at_resolution_age, coalescent_diversity_at_resolution_age; | ^~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:11147:88: warning: ‘coalescent_diversity_at_resolution_age’ may be used uninitialized [-Wmaybe-uninitialized] 11147 | Pmissing = 1.0 - coalescent_diversity_at_resolution_age/total_diversities[t]; // effective Pmissing, based on coalescent and total diversity after collapsing and rarefaction phylogenetics_cpp_routines.cpp:11114:87: note: ‘coalescent_diversity_at_resolution_age’ was declared here 11114 | double Pmissing_at_resolution_age, total_diversity_at_resolution_age, coalescent_diversity_at_resolution_age; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/RcppCommon.h:189, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp.h:27, from phylogenetics_cpp_routines.cpp:39: In function ‘SEXPREC* Rcpp::internal::primitive_wrap__impl__cast(const T&, Rcpp::traits::false_type) [with T = double]’, inlined from ‘SEXPREC* Rcpp::internal::primitive_wrap__impl(const T&, Rcpp::traits::r_type_primitive_tag) [with T = double]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:465:46, inlined from ‘SEXPREC* Rcpp::internal::primitive_wrap(const T&) [with T = double]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:489:40, inlined from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_primitive_tag) [with T = double]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:744:34, inlined from ‘SEXPREC* Rcpp::wrap(const T&) [with T = double]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38, inlined from ‘static SEXPREC* Rcpp::internal::generic_element_converter::get(const T&) [with T = double; int RTYPE = 19]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/converter.h:80:23, inlined from ‘static void Rcpp::Vector::replace_element__dispatch__isArgument(Rcpp::traits::false_type, iterator, SEXP, R_xlen_t, const U&) [with U = Rcpp::traits::named_object; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:532:13, inlined from ‘static void Rcpp::Vector::replace_element__dispatch(Rcpp::traits::true_type, iterator, SEXP, R_xlen_t, const U&) [with U = Rcpp::traits::named_object; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:525:46, inlined from ‘static void Rcpp::Vector::replace_element(iterator, SEXP, R_xlen_t, const U&) [with U = Rcpp::traits::named_object; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:514:34, inlined from ‘static void Rcpp::Vector::replace_element_impl(iterator&, Rcpp::Shield&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object; TArgs = {Rcpp::traits::named_object}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1168:32, inlined from ‘static void Rcpp::Vector::replace_element_impl(iterator&, Rcpp::Shield&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object; TArgs = {Rcpp::traits::named_object, Rcpp::traits::named_object}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1169:37, inlined from ‘static void Rcpp::Vector::replace_element_impl(iterator&, Rcpp::Shield&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object; TArgs = {Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1169:37, inlined from ‘static void Rcpp::Vector::replace_element_impl(iterator&, Rcpp::Shield&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object; TArgs = {Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1169:37, inlined from ‘static void Rcpp::Vector::replace_element_impl(iterator&, Rcpp::Shield&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object; TArgs = {Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1169:37, inlined from ‘static void Rcpp::Vector::replace_element_impl(iterator&, Rcpp::Shield&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object; TArgs = {Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1169:37, inlined from ‘static void Rcpp::Vector::replace_element_impl(iterator&, Rcpp::Shield&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object; TArgs = {Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1169:37, inlined from ‘static void Rcpp::Vector::replace_element_impl(iterator&, Rcpp::Shield&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object; TArgs = {Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1169:37, inlined from ‘static void Rcpp::Vector::replace_element_impl(iterator&, Rcpp::Shield&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object; TArgs = {Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1169:37, inlined from ‘static void Rcpp::Vector::replace_element_impl(iterator&, Rcpp::Shield&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object; TArgs = {Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1169:37, inlined from ‘static void Rcpp::Vector::replace_element_impl(iterator&, Rcpp::Shield&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object; TArgs = {Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1169:37, inlined from ‘static Rcpp::Vector Rcpp::Vector::create__dispatch(Rcpp::traits::true_type, const T& ...) [with T = {Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1148:37, inlined from ‘static Rcpp::Vector Rcpp::Vector::create(const T& ...) [with T = {Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1131:33, inlined from ‘Rcpp::List read_Newick_string_CPP(std::string, bool, bool, bool, bool)’ at phylogenetics_cpp_routines.cpp:19126:39: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:442:41: warning: ‘root_edge’ may be used uninitialized [-Wmaybe-uninitialized] 442 | r_vector_start(x)[0] = object; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ phylogenetics_cpp_routines.cpp: In function ‘Rcpp::List read_Newick_string_CPP(std::string, bool, bool, bool, bool)’: phylogenetics_cpp_routines.cpp:19042:29: note: ‘root_edge’ was declared here 19042 | double edge_length, root_edge; | ^~~~~~~~~ phylogenetics_cpp_routines.cpp: In function ‘Rcpp::NumericMatrix get_distance_matrix_between_clades_CPP(long int, long int, long int, const std::vector&, const std::vector&, const std::vector&, bool, const std::string&)’: phylogenetics_cpp_routines.cpp:13326:155: warning: ‘mrca’ may be used uninitialized [-Wmaybe-uninitialized] 13326 | distances(i,j) = distance_from_root_per_clade[cladeA] + distance_from_root_per_clade[cladeB] - 2*distance_from_root_per_clade[mrca]; | ^ phylogenetics_cpp_routines.cpp:13299:30: note: ‘mrca’ was declared here 13299 | long cladeA, cladeB, mrca; | ^~~~ gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c registerDynamicSymbol.c -o registerDynamicSymbol.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o castor.so RcppExports.o STMathExpression.o phylogenetics_cpp_routines.o registerDynamicSymbol.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp5UruCo/R.INSTALL368649102e361c/castor/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-castor/00new/castor/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (castor) * installing *source* package ‘keyATM’ ... ** package ‘keyATM’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ using C++17 make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpX4bKxC/R.INSTALL36855253096808/keyATM/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cli/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c LDA_base.cpp -o LDA_base.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from LDA_base.h:6, from LDA_base.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ keyATM_meta.h:64:14: required from here 64 | MatrixXd prior_gamma; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ keyATM_meta.h:64:14: required from here 64 | MatrixXd prior_gamma; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ keyATM_meta.h:77:36: required from here 77 | SparseMatrix beta_s1kv; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ keyATM_meta.h:78:14: required from here 78 | VectorXd Vbeta_k; | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ LDA_base.cpp:67:37: required from here 67 | vocab_weights = VectorXd::Constant(num_vocab, 1.0); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ LDA_base.cpp:111:24: required from here 111 | n_kv = MatrixXd::Zero(num_topics, num_vocab); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ LDA_base.cpp:131:20: required from here 131 | temp = n_dk.row(doc_id).sum(); | ~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:277: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 1, -1, false> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ LDA_base.cpp:131:32: required from here 131 | temp = n_dk.row(doc_id).sum(); | ~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ LDA_base.cpp:85:39: required from here 85 | total_words = (int)vocab_weights.sum(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cli/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c LDA_weight.cpp -o LDA_weight.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from LDA_weight.h:6, from LDA_weight.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ keyATM_meta.h:64:14: required from here 64 | MatrixXd prior_gamma; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ keyATM_meta.h:64:14: required from here 64 | MatrixXd prior_gamma; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ keyATM_meta.h:77:36: required from here 77 | SparseMatrix beta_s1kv; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ keyATM_meta.h:78:14: required from here 78 | VectorXd Vbeta_k; | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ LDA_weight.cpp:56:34: required from here 56 | loglik += mylgamma( alpha.sum() ) - mylgamma( doc_each_len_weighted[d] + alpha.sum() ); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cli/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c LDA_weightCov.cpp -o LDA_weightCov.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from LDA_weightCov.h:6, from LDA_weightCov.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ keyATM_meta.h:64:14: required from here 64 | MatrixXd prior_gamma; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ keyATM_meta.h:64:14: required from here 64 | MatrixXd prior_gamma; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ keyATM_meta.h:77:36: required from here 77 | SparseMatrix beta_s1kv; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ keyATM_meta.h:78:14: required from here 78 | VectorXd Vbeta_k; | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ LDA_weightCov.cpp:21:32: required from here 21 | Alpha = (C * Lambda.transpose()).array().exp(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ LDA_weightCov.cpp:21:33: required from here 21 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Transpose >, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, Eigen::Transpose >, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ LDA_weightCov.cpp:21:41: required from here 21 | Alpha = (C * Lambda.transpose()).array().exp(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ LDA_weightCov.cpp:21:47: required from here 21 | Alpha = (C * Lambda.transpose()).array().exp(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ LDA_weightCov.cpp:31:22: required from here 31 | alpha = Alpha.row(doc_id_).transpose(); // take out alpha | ~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ LDA_weightCov.cpp:31:41: required from here 31 | alpha = Alpha.row(doc_id_).transpose(); // take out alpha | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ LDA_weightCov.cpp:64:25: required from here 64 | alpha = VectorXd::Zero(num_topics); | ~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ LDA_weightCov.cpp:69:34: required from here 69 | loglik += mylgamma( alpha.sum() ) - mylgamma( doc_each_len_weighted[d] + alpha.sum() ); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:277: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Transpose, 1, -1, false> >; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Transpose, 1, -1, false> >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, -1, false> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, -1, false> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, -1, false> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 1, -1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ LDA_weightCov.cpp:31:42: required from here 31 | alpha = Alpha.row(doc_id_).transpose(); // take out alpha | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ LDA_weightCov.cpp:21:48: required from here 21 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ LDA_weightCov.cpp:21:48: required from here 21 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ LDA_weightCov.cpp:21:48: required from here 21 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ LDA_weightCov.cpp:21:48: required from here 21 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ LDA_weightCov.cpp:21:48: required from here 21 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ LDA_weightCov.cpp:21:48: required from here 21 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ LDA_weightCov.cpp:21:48: required from here 21 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ LDA_weightCov.cpp:21:48: required from here 21 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ LDA_weightCov.cpp:21:48: required from here 21 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ LDA_weightCov.cpp:21:48: required from here 21 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ LDA_weightCov.cpp:21:48: required from here 21 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ LDA_weightCov.cpp:21:48: required from here 21 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:333: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 87 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block >, -1, 1, false>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ LDA_weightCov.cpp:21:48: required from here 21 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 91 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block >, -1, 1, false>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ LDA_weightCov.cpp:21:48: required from here 21 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 95 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block >, -1, 1, false>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ LDA_weightCov.cpp:21:48: required from here 21 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ LDA_weightCov.cpp:21:48: required from here 21 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ LDA_weightCov.cpp:21:48: required from here 21 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ LDA_weightCov.cpp:21:48: required from here 21 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ LDA_weightCov.cpp:21:48: required from here 21 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ LDA_weightCov.cpp:21:48: required from here 21 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ LDA_weightCov.cpp:21:48: required from here 21 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ LDA_weightCov.cpp:21:48: required from here 21 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ LDA_weightCov.cpp:21:48: required from here 21 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ LDA_weightCov.cpp:21:48: required from here 21 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:330: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:147:40: required from ‘void Eigen::internal::evaluateProductBlockingSizesHeuristic(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]’ 147 | typedef typename Traits::ResScalar ResScalar; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:342:81: required from ‘void Eigen::internal::computeProductBlockingSizes(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]’ 342 | evaluateProductBlockingSizesHeuristic(k, m, n, num_threads); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:355:66: required from ‘Eigen::internal::gemm_blocking_space::gemm_blocking_space(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, bool) [with int StorageOrder = 0; _LhsScalar = double; _RhsScalar = double; int MaxRows = -1; int MaxCols = -1; int MaxDepth = -1; int KcFactor = 1; Eigen::Index = long int]’ 355 | computeProductBlockingSizes(this->m_kc, this->m_mc, this->m_nc, num_threads); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:507:18: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 507 | BlockingType blocking(dst.rows(), dst.cols(), lhs.cols(), 1, true); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ LDA_weightCov.cpp:21:48: required from here 21 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 81 | gemm_pack_rhs pack_rhs; | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ LDA_weightCov.cpp:21:48: required from here 21 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 82 | gebp_kernel gebp; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ LDA_weightCov.cpp:21:48: required from here 21 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 82 | gebp_kernel gebp; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ LDA_weightCov.cpp:21:48: required from here 21 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 184 | pack_lhs(blockA, lhs.getSubMapper(i2,k2), actual_kc, actual_mc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ LDA_weightCov.cpp:21:48: required from here 21 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:198:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 198 | gebp(res.getSubMapper(i2, j2), blockA, blockB, actual_mc, actual_kc, actual_nc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ LDA_weightCov.cpp:21:48: required from here 21 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ LDA_weightCov.cpp:21:48: required from here 21 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ LDA_weightCov.cpp:21:48: required from here 21 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ LDA_weightCov.cpp:21:48: required from here 21 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ LDA_weightCov.cpp:21:48: required from here 21 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, true>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ LDA_weightCov.cpp:21:48: required from here 21 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ LDA_weightCov.cpp:21:48: required from here 21 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cli/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c LDA_weightHMM.cpp -o LDA_weightHMM.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from LDA_weightHMM.h:6, from LDA_weightHMM.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ keyATM_meta.h:64:14: required from here 64 | MatrixXd prior_gamma; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ keyATM_meta.h:64:14: required from here 64 | MatrixXd prior_gamma; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ keyATM_meta.h:77:36: required from here 77 | SparseMatrix beta_s1kv; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ keyATM_meta.h:78:14: required from here 78 | VectorXd Vbeta_k; | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ LDA_weightHMM.cpp:23:23: required from here 23 | alpha = alphas.row(get_state_index(doc_id_)).transpose(); // select alpha for this document | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ LDA_weightHMM.cpp:23:59: required from here 23 | alpha = alphas.row(get_state_index(doc_id_)).transpose(); // select alpha for this document | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ LDA_weightHMM.cpp:63:34: required from here 63 | loglik += mylgamma( alpha.sum() ) - mylgamma( doc_each_len_weighted[d] + alpha.sum() ); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:277: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Transpose, 1, -1, false> >; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Transpose, 1, -1, false> >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, -1, false> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, -1, false> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, -1, false> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 1, -1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ LDA_weightHMM.cpp:23:60: required from here 23 | alpha = alphas.row(get_state_index(doc_id_)).transpose(); // select alpha for this document | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cli/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/InputParameter.h:51:11: required from ‘class Rcpp::ReferenceInputParameter >’ 51 | T obj ; | ^~~ RcppExports.cpp:33:76: required from here 33 | Rcpp::traits::input_parameter< Eigen::MatrixXd& >::type theta(thetaSEXP); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/InputParameter.h:51:11: required from ‘class Rcpp::ReferenceInputParameter >’ 51 | T obj ; | ^~~ RcppExports.cpp:33:76: required from here 33 | Rcpp::traits::input_parameter< Eigen::MatrixXd& >::type theta(thetaSEXP); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cli/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c count.cpp -o count.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cli/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c helper.cpp -o helper.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from helper.cpp:3: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ helper.cpp:34:14: required from here 34 | theta(d, 0) = theta_tilda(d, 0); | ~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ helper.cpp:34:14: required from here 34 | theta(d, 0) = theta_tilda(d, 0); | ~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ helper.cpp:37:49: required from here 37 | theta(d, num_topics - 1) = 1 - theta.row(d).sum(); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:277: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 1, -1, false> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ helper.cpp:37:56: required from here 37 | theta(d, num_topics - 1) = 1 - theta.row(d).sum(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cli/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c initialize.cpp -o initialize.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from initialize.cpp:4: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cli/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c keyATM_HMM.cpp -o keyATM_HMM.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from keyATM_HMM.h:6, from keyATM_HMM.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ keyATM_meta.h:64:14: required from here 64 | MatrixXd prior_gamma; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ keyATM_meta.h:64:14: required from here 64 | MatrixXd prior_gamma; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ keyATM_meta.h:77:36: required from here 77 | SparseMatrix beta_s1kv; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ keyATM_meta.h:78:14: required from here 78 | VectorXd Vbeta_k; | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ keyATM_HMM.cpp:49:39: required from here 49 | VectorXd R_est_temp = VectorXd::Zero(num_states); | ~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ keyATM_HMM.cpp:83:25: required from here 83 | P_est = MatrixXd::Zero(num_states, num_states); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ keyATM_HMM.cpp:176:23: required from here 176 | alpha = alphas.row(get_state_index(doc_id_)).transpose(); // select alpha for this document | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ keyATM_HMM.cpp:176:59: required from here 176 | alpha = alphas.row(get_state_index(doc_id_)).transpose(); // select alpha for this document | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ keyATM_HMM.cpp:321:38: required from here 321 | alphas.row(state) = alpha.transpose(); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate >, -1, 1>’ 61 | template class Replicate | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::Replicate >, -1, 1> > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Replicate >, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate >, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ keyATM_HMM.cpp:331:44: required from here 331 | ndk_a = n_dk.rowwise() + alpha.transpose(); // Use Eigen Broadcasting | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Replicate >, -1, 1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Replicate >, -1, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Replicate >, -1, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Replicate >, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate >, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ keyATM_HMM.cpp:331:44: required from here 331 | ndk_a = n_dk.rowwise() + alpha.transpose(); // Use Eigen Broadcasting | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ keyATM_HMM.cpp:379:33: required from here 379 | rt_k = (rt_1l.transpose() * P_est); | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ keyATM_HMM.cpp:447:25: required from here 447 | state_prob_vec.array() = Prk.row(t).transpose().array() * P_est.col(state_id).array(); | ~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 1, -1, false> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 1, -1, false> > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ keyATM_HMM.cpp:447:58: required from here 447 | state_prob_vec.array() = Prk.row(t).transpose().array() * P_est.col(state_id).array(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ 103 | template class Block | ^~~~~ keyATM_HMM.cpp:447:72: required from here 447 | state_prob_vec.array() = Prk.row(t).transpose().array() * P_est.col(state_id).array(); | ~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ keyATM_HMM.cpp:447:88: required from here 447 | state_prob_vec.array() = Prk.row(t).transpose().array() * P_est.col(state_id).array(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::ArrayWrapper, -1, 1, true> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ keyATM_HMM.cpp:447:89: required from here 447 | state_prob_vec.array() = Prk.row(t).transpose().array() * P_est.col(state_id).array(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ keyATM_HMM.cpp:448:74: required from here 448 | state_prob_vec.array() = state_prob_vec.array() / state_prob_vec.sum(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ keyATM_HMM.cpp:448:74: required from here 448 | state_prob_vec.array() = state_prob_vec.array() / state_prob_vec.sum(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::ArrayWrapper >; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::ArrayWrapper >]’ 41 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ keyATM_HMM.cpp:448:74: required from here 448 | state_prob_vec.array() = state_prob_vec.array() / state_prob_vec.sum(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ keyATM_HMM.cpp:332:35: required from here 332 | double alpha_sum_val = alpha.sum(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_HMM.cpp:379:38: required from here 379 | rt_k = (rt_1l.transpose() * P_est); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:277: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ keyATM_HMM.cpp:321:39: required from here 321 | alphas.row(state) = alpha.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, true> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::ArrayWrapper, -1, 1, true> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::ArrayWrapper, -1, 1, true> > >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::ArrayWrapper >; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::ArrayWrapper, -1, 1, true> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::ArrayWrapper >; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::ArrayWrapper, -1, 1, true> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::ArrayWrapper >; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::ArrayWrapper, -1, 1, true> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::ArrayWrapper, -1, 1, true> > >; Derived = Eigen::ArrayWrapper >]’ 41 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ keyATM_HMM.cpp:447:89: required from here 447 | state_prob_vec.array() = Prk.row(t).transpose().array() * P_est.col(state_id).array(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_HMM.cpp:379:38: required from here 379 | rt_k = (rt_1l.transpose() * P_est); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_HMM.cpp:379:38: required from here 379 | rt_k = (rt_1l.transpose() * P_est); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_HMM.cpp:379:38: required from here 379 | rt_k = (rt_1l.transpose() * P_est); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_HMM.cpp:379:38: required from here 379 | rt_k = (rt_1l.transpose() * P_est); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_HMM.cpp:379:38: required from here 379 | rt_k = (rt_1l.transpose() * P_est); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_HMM.cpp:379:38: required from here 379 | rt_k = (rt_1l.transpose() * P_est); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_HMM.cpp:379:38: required from here 379 | rt_k = (rt_1l.transpose() * P_est); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_HMM.cpp:379:38: required from here 379 | rt_k = (rt_1l.transpose() * P_est); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_HMM.cpp:379:38: required from here 379 | rt_k = (rt_1l.transpose() * P_est); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_HMM.cpp:379:38: required from here 379 | rt_k = (rt_1l.transpose() * P_est); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_HMM.cpp:379:38: required from here 379 | rt_k = (rt_1l.transpose() * P_est); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:333: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 306 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose > >; Dest = Eigen::Transpose >; typename Dest::Scalar = double]’ 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ 206 | gemv_dense_selector | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_HMM.cpp:379:38: required from here 379 | rt_k = (rt_1l.transpose() * P_est); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 310 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose > >; Dest = Eigen::Transpose >; typename Dest::Scalar = double]’ 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ 206 | gemv_dense_selector | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_HMM.cpp:379:38: required from here 379 | rt_k = (rt_1l.transpose() * P_est); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 314 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose > >; Dest = Eigen::Transpose >; typename Dest::Scalar = double]’ 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ 206 | gemv_dense_selector | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_HMM.cpp:379:38: required from here 379 | rt_k = (rt_1l.transpose() * P_est); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_HMM.cpp:379:38: required from here 379 | rt_k = (rt_1l.transpose() * P_est); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_HMM.cpp:379:38: required from here 379 | rt_k = (rt_1l.transpose() * P_est); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_HMM.cpp:379:38: required from here 379 | rt_k = (rt_1l.transpose() * P_est); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_HMM.cpp:379:38: required from here 379 | rt_k = (rt_1l.transpose() * P_est); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In member function ‘Eigen::internal::evaluator >::Scalar& Eigen::internal::evaluator >::coeffRef(Eigen::Index) [with Derived = Eigen::Matrix]’, inlined from ‘Eigen::DenseCoeffsBase::Scalar& Eigen::DenseCoeffsBase::coeffRef(Eigen::Index) [with Derived = Eigen::Matrix]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:394:62, inlined from ‘Eigen::DenseCoeffsBase::Scalar& Eigen::DenseCoeffsBase::operator()(Eigen::Index) [with Derived = Eigen::Matrix]’ at /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:428:22, inlined from ‘virtual void keyATMhmm::initialize_specific()’ at keyATM_HMM.cpp:67:14: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:228:42: warning: ‘index’ may be used uninitialized [-Wmaybe-uninitialized] 228 | return const_cast(m_d.data)[index]; | ^~~~~ keyATM_HMM.cpp: In member function ‘virtual void keyATMhmm::initialize_specific()’: keyATM_HMM.cpp:52:7: note: ‘index’ was declared here 52 | int index; | ^~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cli/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c keyATM_base.cpp -o keyATM_base.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from keyATM_base.h:6, from keyATM_base.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ keyATM_meta.h:64:14: required from here 64 | MatrixXd prior_gamma; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ keyATM_meta.h:64:14: required from here 64 | MatrixXd prior_gamma; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ keyATM_meta.h:77:36: required from here 77 | SparseMatrix beta_s1kv; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ keyATM_meta.h:78:14: required from here 78 | VectorXd Vbeta_k; | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ keyATM_base.cpp:143:43: required from here 143 | ndk_a = n_dk.rowwise() + alpha.transpose(); // Use Eigen Broadcasting | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate >, -1, 1>’ 61 | template class Replicate | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::Replicate >, -1, 1> > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Replicate >, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate >, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ keyATM_base.cpp:143:44: required from here 143 | ndk_a = n_dk.rowwise() + alpha.transpose(); // Use Eigen Broadcasting | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Replicate >, -1, 1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Replicate >, -1, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Replicate >, -1, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Replicate >, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate >, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ keyATM_base.cpp:143:44: required from here 143 | ndk_a = n_dk.rowwise() + alpha.transpose(); // Use Eigen Broadcasting | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ keyATM_base.cpp:144:35: required from here 144 | double alpha_sum_val = alpha.sum(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cli/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c keyATM_cov.cpp -o keyATM_cov.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from keyATM_cov.h:6, from keyATM_cov.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ keyATM_meta.h:64:14: required from here 64 | MatrixXd prior_gamma; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ keyATM_meta.h:64:14: required from here 64 | MatrixXd prior_gamma; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ keyATM_meta.h:77:36: required from here 77 | SparseMatrix beta_s1kv; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ keyATM_meta.h:78:14: required from here 78 | VectorXd Vbeta_k; | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ keyATM_cov.cpp:33:25: required from here 33 | Alpha = MatrixXd::Zero(num_doc, num_topics); // used in iteration | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ keyATM_cov.cpp:34:25: required from here 34 | alpha = VectorXd::Zero(num_topics); // used in iteration | ~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ keyATM_cov.cpp:76:32: required from here 76 | Alpha = (C * Lambda.transpose()).array().exp(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ keyATM_cov.cpp:76:33: required from here 76 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Transpose >, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, Eigen::Transpose >, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ keyATM_cov.cpp:76:41: required from here 76 | Alpha = (C * Lambda.transpose()).array().exp(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ keyATM_cov.cpp:76:47: required from here 76 | Alpha = (C * Lambda.transpose()).array().exp(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ keyATM_cov.cpp:86:22: required from here 86 | alpha = Alpha.row(doc_id_).transpose(); // take out alpha | ~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ keyATM_cov.cpp:86:41: required from here 86 | alpha = Alpha.row(doc_id_).transpose(); // take out alpha | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ keyATM_cov.cpp:136:33: required from here 136 | loglik += mylgamma(alpha.sum()); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:277: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Transpose, 1, -1, false> >; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Transpose, 1, -1, false> >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, -1, false> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, -1, false> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Transpose, 1, -1, false> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, 1, -1, false> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_cov.cpp:86:42: required from here 86 | alpha = Alpha.row(doc_id_).transpose(); // take out alpha | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_cov.cpp:76:48: required from here 76 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_cov.cpp:76:48: required from here 76 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_cov.cpp:76:48: required from here 76 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_cov.cpp:76:48: required from here 76 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_cov.cpp:76:48: required from here 76 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_cov.cpp:76:48: required from here 76 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_cov.cpp:76:48: required from here 76 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_cov.cpp:76:48: required from here 76 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_cov.cpp:76:48: required from here 76 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_cov.cpp:76:48: required from here 76 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_cov.cpp:76:48: required from here 76 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:333: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 87 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block >, -1, 1, false>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_cov.cpp:76:48: required from here 76 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 91 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block >, -1, 1, false>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_cov.cpp:76:48: required from here 76 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 95 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block >, -1, 1, false>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_cov.cpp:76:48: required from here 76 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_cov.cpp:76:48: required from here 76 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_cov.cpp:76:48: required from here 76 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_cov.cpp:76:48: required from here 76 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_cov.cpp:76:48: required from here 76 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_cov.cpp:76:48: required from here 76 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_cov.cpp:76:48: required from here 76 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_cov.cpp:76:48: required from here 76 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_cov.cpp:76:48: required from here 76 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_cov.cpp:76:48: required from here 76 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:330: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:147:40: required from ‘void Eigen::internal::evaluateProductBlockingSizesHeuristic(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]’ 147 | typedef typename Traits::ResScalar ResScalar; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:342:81: required from ‘void Eigen::internal::computeProductBlockingSizes(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]’ 342 | evaluateProductBlockingSizesHeuristic(k, m, n, num_threads); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:355:66: required from ‘Eigen::internal::gemm_blocking_space::gemm_blocking_space(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, bool) [with int StorageOrder = 0; _LhsScalar = double; _RhsScalar = double; int MaxRows = -1; int MaxCols = -1; int MaxDepth = -1; int KcFactor = 1; Eigen::Index = long int]’ 355 | computeProductBlockingSizes(this->m_kc, this->m_mc, this->m_nc, num_threads); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:507:18: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 507 | BlockingType blocking(dst.rows(), dst.cols(), lhs.cols(), 1, true); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_cov.cpp:76:48: required from here 76 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 81 | gemm_pack_rhs pack_rhs; | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_cov.cpp:76:48: required from here 76 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 82 | gebp_kernel gebp; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_cov.cpp:76:48: required from here 76 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 82 | gebp_kernel gebp; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_cov.cpp:76:48: required from here 76 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 184 | pack_lhs(blockA, lhs.getSubMapper(i2,k2), actual_kc, actual_mc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_cov.cpp:76:48: required from here 76 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:198:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 198 | gebp(res.getSubMapper(i2, j2), blockA, blockB, actual_mc, actual_kc, actual_nc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_cov.cpp:76:48: required from here 76 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_cov.cpp:76:48: required from here 76 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_cov.cpp:76:48: required from here 76 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_cov.cpp:76:48: required from here 76 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_cov.cpp:76:48: required from here 76 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, true>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_cov.cpp:76:48: required from here 76 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATM_cov.cpp:76:48: required from here 76 | Alpha = (C * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cli/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c keyATM_covPG.cpp -o keyATM_covPG.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from keyATM_covPG.h:6, from keyATM_covPG.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ keyATM_meta.h:64:14: required from here 64 | MatrixXd prior_gamma; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ keyATM_meta.h:64:14: required from here 64 | MatrixXd prior_gamma; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ keyATM_meta.h:77:36: required from here 77 | SparseMatrix beta_s1kv; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ keyATM_meta.h:78:14: required from here 78 | VectorXd Vbeta_k; | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ keyATM_covPG.cpp:23:25: required from here 23 | theta = MatrixXd::Zero(num_doc, num_topics); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ keyATM_covPG.cpp:147:25: required from here 147 | sum = z_prob_vec.sum(); // normalize | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cli/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c keyATM_meta.cpp -o keyATM_meta.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from keyATM_meta.h:7, from keyATM_meta.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ keyATM_meta.h:64:14: required from here 64 | MatrixXd prior_gamma; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ keyATM_meta.h:64:14: required from here 64 | MatrixXd prior_gamma; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ keyATM_meta.h:77:36: required from here 77 | SparseMatrix beta_s1kv; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ keyATM_meta.h:78:14: required from here 78 | VectorXd Vbeta_k; | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ keyATM_meta.cpp:81:31: required from here 81 | prior_gamma = MatrixXd::Zero(num_topics, 2); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ keyATM_meta.cpp:150:26: required from here 150 | n_s0_k = VectorXd::Zero(num_topics); | ~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ keyATM_meta.cpp:229:20: required from here 229 | temp = n_dk.row(doc_id).sum(); | ~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ keyATM_meta.cpp:252:60: required from here 252 | vocab_weights = (double)total_words / vocab_weights.array(); | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ keyATM_meta.cpp:252:61: required from here 252 | vocab_weights = (double)total_words / vocab_weights.array(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ keyATM_meta.cpp:252:61: required from here 252 | vocab_weights = (double)total_words / vocab_weights.array(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ keyATM_meta.cpp:259:51: required from here 259 | vocab_weights = vocab_weights.array() / (double)total_words; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ keyATM_meta.cpp:260:44: required from here 260 | vocab_weights = vocab_weights.array().log(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ keyATM_meta.cpp:261:41: required from here 261 | vocab_weights = - vocab_weights.array() / log(2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ keyATM_meta.cpp:261:50: required from here 261 | vocab_weights = - vocab_weights.array() / log(2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ keyATM_meta.cpp:282:51: required from here 282 | vocab_weights = vocab_weights.array() * (double)total_words / total_weights; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ keyATM_meta.cpp:282:65: required from here 282 | vocab_weights = vocab_weights.array() * (double)total_words / total_weights; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ keyATM_meta.cpp:282:65: required from here 282 | vocab_weights = vocab_weights.array() * (double)total_words / total_weights; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ 103 | template class Block | ^~~~~ keyATM_meta.cpp:386:52: required from here 386 | VectorXd numer = n_s1_k.array() + prior_gamma.col(0).array(); | ~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ keyATM_meta.cpp:386:61: required from here 386 | VectorXd numer = n_s1_k.array() + prior_gamma.col(0).array(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1, true> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ keyATM_meta.cpp:386:62: required from here 386 | VectorXd numer = n_s1_k.array() + prior_gamma.col(0).array(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1, true> > >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1, true> > >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1, true> > >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1, true> > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1, true> > >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ keyATM_meta.cpp:387:78: required from here 387 | VectorXd denom = n_s0_k.array() + prior_gamma.col(1).array() + numer.array(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ keyATM_meta.cpp:388:45: required from here 388 | VectorXd pi = numer.array() / denom.array(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:277: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 1, -1, false> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ keyATM_meta.cpp:229:32: required from here 229 | temp = n_dk.row(doc_id).sum(); | ~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 1; _StorageIndex = int]’ 1181 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = scalar_sum_op]’ 1063 | mat = trMat; | ~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector > >; _Scalar = double; int _Options = 1; _StorageIndex = int]’ 1110 | internal::set_from_triplets >(begin, end, *this, internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ keyATM_meta.cpp:233:26: required from here 233 | n_s1_kv.setFromTriplets(trip_s1.begin(), trip_s1.end()); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ keyATM_meta.cpp:171:39: required from here 171 | total_words = (int)vocab_weights.sum(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:79:45: required from ‘void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix]’ 79 | const bool transpose = (DstEvaluatorType::Flags & RowMajorBit) != (SrcEvaluatorType::Flags & RowMajorBit); | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix; Functor = Eigen::internal::assign_op; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]’ 132 | assign_sparse_to_sparse(dst.derived(), src.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; Derived = Eigen::SparseMatrix]’ 37 | internal::Assignment > | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | ::run(derived(), other.derived(), internal::assign_op()); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 1; _StorageIndex = int]’ 1239 | return Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = scalar_sum_op]’ 1063 | mat = trMat; | ~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector > >; _Scalar = double; int _Options = 1; _StorageIndex = int]’ 1110 | internal::set_from_triplets >(begin, end, *this, internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ keyATM_meta.cpp:233:26: required from here 233 | n_s1_kv.setFromTriplets(trip_s1.begin(), trip_s1.end()); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, true> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1, true> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1, true> > >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1, true> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1, true> > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1, true> > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1, true> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ keyATM_meta.cpp:386:62: required from here 386 | VectorXd numer = n_s1_k.array() + prior_gamma.col(0).array(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cli/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c keyATMvb_call.cpp -o keyATMvb_call.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from keyATMvb_call.cpp:4: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ keyATMvb_main.h:50:14: required from here 50 | MatrixXd prior_gamma; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ keyATMvb_main.h:50:14: required from here 50 | MatrixXd prior_gamma; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ keyATMvb_main.h:55:14: required from here 55 | VectorXd alpha_d; // document level sum of alpha | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cli/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c keyATMvb_main.cpp -o keyATMvb_main.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from keyATMvb_main.h:7, from keyATMvb_main.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ keyATMvb_main.h:50:14: required from here 50 | MatrixXd prior_gamma; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ keyATMvb_main.h:50:14: required from here 50 | MatrixXd prior_gamma; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ keyATMvb_main.h:55:14: required from here 55 | VectorXd alpha_d; // document level sum of alpha | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ keyATMvb_main.cpp:66:31: required from here 66 | prior_gamma = MatrixXd::Zero(num_topics, 2); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ keyATMvb_main.cpp:105:33: required from here 105 | alpha_d = alphas.rowwise().sum(); | ~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ keyATMvb_main.cpp:117:34: required from here 117 | VectorXd alpha = VectorXd::Zero(num_topics); | ~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ keyATMvb_main.cpp:129:22: required from here 129 | alpha = alpha.array() / (double)divide; // take a mean | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ keyATMvb_main.cpp:129:35: required from here 129 | alpha = alpha.array() / (double)divide; // take a mean | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ keyATMvb_main.cpp:129:35: required from here 129 | alpha = alpha.array() / (double)divide; // take a mean | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ keyATMvb_main.cpp:133:15: required from here 133 | alphas.row(d) = alpha.transpose(); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ keyATMvb_main.cpp:133:36: required from here 133 | alphas.row(d) = alpha.transpose(); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ keyATMvb_main.cpp:164:24: required from here 164 | Lambda = Lambda.array() / (double)divide; // take a mean | ~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ keyATMvb_main.cpp:164:37: required from here 164 | Lambda = Lambda.array() / (double)divide; // take a mean | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ keyATMvb_main.cpp:164:37: required from here 164 | Lambda = Lambda.array() / (double)divide; // take a mean | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ keyATMvb_main.cpp:167:40: required from here 167 | alphas = (use_data * Lambda.transpose()).array().exp(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ keyATMvb_main.cpp:167:41: required from here 167 | alphas = (use_data * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Transpose >, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, Eigen::Transpose >, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ keyATMvb_main.cpp:167:49: required from here 167 | alphas = (use_data * Lambda.transpose()).array().exp(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ keyATMvb_main.cpp:167:55: required from here 167 | alphas = (use_data * Lambda.transpose()).array().exp(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ keyATMvb_main.cpp:187:37: required from here 187 | time_index = time_index.array() - 1; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATMvb_main.cpp:129:35: required from here 129 | alpha = alpha.array() / (double)divide; // take a mean | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATMvb_main.cpp:164:37: required from here 164 | Lambda = Lambda.array() / (double)divide; // take a mean | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ keyATMvb_main.cpp:393:23: required from here 393 | sum = z_prob_vec.sum(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:277: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ keyATMvb_main.cpp:133:37: required from here 133 | alphas.row(d) = alpha.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, member_sum, 1>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, member_sum, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, member_sum, 1>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATMvb_main.cpp:105:34: required from here 105 | alpha_d = alphas.rowwise().sum(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 2, -1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from ‘PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]’ 217 | PanelEvaluator panel_eval(panel); | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ 681 | m_functor.template assignPacket(&m_dst.coeffRef(index), m_src.template packet(index)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: required from ‘static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >, Eigen::internal::assign_op, 0>]’ 437 | kernel.template assignPacket(index); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, member_sum, 1>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, member_sum, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, member_sum, 1>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATMvb_main.cpp:105:34: required from here 105 | alpha_d = alphas.rowwise().sum(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, member_sum, 1>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, member_sum, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, member_sum, 1>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATMvb_main.cpp:105:34: required from here 105 | alpha_d = alphas.rowwise().sum(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 1, -1, false> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, 1, -1, false>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:214:47: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, member_sum, 1>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, member_sum, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::PartialReduxExpr, member_sum, 1>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATMvb_main.cpp:105:34: required from here 105 | alpha_d = alphas.rowwise().sum(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATMvb_main.cpp:167:56: required from here 167 | alphas = (use_data * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATMvb_main.cpp:167:56: required from here 167 | alphas = (use_data * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATMvb_main.cpp:167:56: required from here 167 | alphas = (use_data * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATMvb_main.cpp:167:56: required from here 167 | alphas = (use_data * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATMvb_main.cpp:167:56: required from here 167 | alphas = (use_data * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATMvb_main.cpp:167:56: required from here 167 | alphas = (use_data * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATMvb_main.cpp:167:56: required from here 167 | alphas = (use_data * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATMvb_main.cpp:167:56: required from here 167 | alphas = (use_data * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATMvb_main.cpp:167:56: required from here 167 | alphas = (use_data * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:333: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 87 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block >, -1, 1, false>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATMvb_main.cpp:167:56: required from here 167 | alphas = (use_data * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 91 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block >, -1, 1, false>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATMvb_main.cpp:167:56: required from here 167 | alphas = (use_data * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 95 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block >, -1, 1, false>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATMvb_main.cpp:167:56: required from here 167 | alphas = (use_data * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATMvb_main.cpp:167:56: required from here 167 | alphas = (use_data * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATMvb_main.cpp:167:56: required from here 167 | alphas = (use_data * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATMvb_main.cpp:167:56: required from here 167 | alphas = (use_data * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATMvb_main.cpp:167:56: required from here 167 | alphas = (use_data * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATMvb_main.cpp:167:56: required from here 167 | alphas = (use_data * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATMvb_main.cpp:167:56: required from here 167 | alphas = (use_data * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATMvb_main.cpp:167:56: required from here 167 | alphas = (use_data * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATMvb_main.cpp:167:56: required from here 167 | alphas = (use_data * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATMvb_main.cpp:167:56: required from here 167 | alphas = (use_data * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATMvb_main.cpp:167:56: required from here 167 | alphas = (use_data * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:330: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:147:40: required from ‘void Eigen::internal::evaluateProductBlockingSizesHeuristic(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]’ 147 | typedef typename Traits::ResScalar ResScalar; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:342:81: required from ‘void Eigen::internal::computeProductBlockingSizes(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]’ 342 | evaluateProductBlockingSizesHeuristic(k, m, n, num_threads); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:355:66: required from ‘Eigen::internal::gemm_blocking_space::gemm_blocking_space(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, bool) [with int StorageOrder = 0; _LhsScalar = double; _RhsScalar = double; int MaxRows = -1; int MaxCols = -1; int MaxDepth = -1; int KcFactor = 1; Eigen::Index = long int]’ 355 | computeProductBlockingSizes(this->m_kc, this->m_mc, this->m_nc, num_threads); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:507:18: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 507 | BlockingType blocking(dst.rows(), dst.cols(), lhs.cols(), 1, true); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATMvb_main.cpp:167:56: required from here 167 | alphas = (use_data * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 81 | gemm_pack_rhs pack_rhs; | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATMvb_main.cpp:167:56: required from here 167 | alphas = (use_data * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 82 | gebp_kernel gebp; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATMvb_main.cpp:167:56: required from here 167 | alphas = (use_data * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 82 | gebp_kernel gebp; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATMvb_main.cpp:167:56: required from here 167 | alphas = (use_data * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 184 | pack_lhs(blockA, lhs.getSubMapper(i2,k2), actual_kc, actual_mc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATMvb_main.cpp:167:56: required from here 167 | alphas = (use_data * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:198:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 198 | gebp(res.getSubMapper(i2, j2), blockA, blockB, actual_mc, actual_kc, actual_nc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATMvb_main.cpp:167:56: required from here 167 | alphas = (use_data * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATMvb_main.cpp:167:56: required from here 167 | alphas = (use_data * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATMvb_main.cpp:167:56: required from here 167 | alphas = (use_data * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATMvb_main.cpp:167:56: required from here 167 | alphas = (use_data * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATMvb_main.cpp:167:56: required from here 167 | alphas = (use_data * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, true>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATMvb_main.cpp:167:56: required from here 167 | alphas = (use_data * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Transpose >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ keyATMvb_main.cpp:167:56: required from here 167 | alphas = (use_data * Lambda.transpose()).array().exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cli/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c read.cpp -o read.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from read.cpp:4: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cli/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c sampler.cpp -o sampler.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from sampler.h:6, from sampler.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ sampler.cpp:39:19: required from here 39 | temp += prob(ii); | ~~~~^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ sampler.cpp:39:19: required from here 39 | temp += prob(ii); | ~~~~^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cli/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c train.cpp -o train.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from train.cpp:4: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ keyATM_meta.h:64:14: required from here 64 | MatrixXd prior_gamma; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ keyATM_meta.h:64:14: required from here 64 | MatrixXd prior_gamma; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ keyATM_meta.h:77:36: required from here 77 | SparseMatrix beta_s1kv; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ keyATM_meta.h:78:14: required from here 78 | VectorXd Vbeta_k; | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ keyATM_meta.h:222:33: required from here 222 | double vmax = vec.maxCoeff(); | ~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/cli/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c utils.cpp -o utils.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from utils.h:6, from utils.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ utils.cpp:11:10: required from here 11 | theta.setZero(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ utils.cpp:11:10: required from here 11 | theta.setZero(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ utils.cpp:21:51: required from here 21 | theta(d, num_topics - 1) = 1 - theta.row(d).sum(); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ utils.cpp:11:18: required from here 11 | theta.setZero(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:277: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 1, -1, false> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ utils.cpp:21:58: required from here 21 | theta(d, num_topics - 1) = 1 - theta.row(d).sum(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o keyATM.so LDA_base.o LDA_weight.o LDA_weightCov.o LDA_weightHMM.o RcppExports.o count.o helper.o initialize.o keyATM_HMM.o keyATM_base.o keyATM_cov.o keyATM_covPG.o keyATM_meta.o keyATMvb_call.o keyATMvb_main.o read.o sampler.o train.o utils.o -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpX4bKxC/R.INSTALL36855253096808/keyATM/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-keyATM/00new/keyATM/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (keyATM) * installing *source* package ‘RNiftyReg’ ... ** package ‘RNiftyReg’ successfully unpacked and MD5 sums checked ** using staged installation checking whether the C++ compiler works... yes checking for C++ compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether we are using the GNU C++ compiler... yes checking whether g++-14 -std=gnu++17 accepts -g... yes checking for OpenMP flag of C++ compiler... -fopenmp configure: creating ./config.status config.status: creating src/Makevars ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpVNAp44/R.INSTALL3652287ba9ec1e/RNiftyReg/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c main.cpp -o main.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from main.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ main.cpp:51:69: required from here 51 | AffineMatrix affine(normalisedSourceImage, normalisedTargetImage); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ main.cpp:51:69: required from here 51 | AffineMatrix affine(normalisedSourceImage, normalisedTargetImage); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ main.cpp:421:31: required from here 421 | Eigen::Vector2d start(Rf_fround((targetImage->dim[1]-1.0) / 2.0, 0), Rf_fround((targetImage->dim[2]-1.0) / 2.0, 0)); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ main.cpp:421:31: required from here 421 | Eigen::Vector2d start(Rf_fround((targetImage->dim[1]-1.0) / 2.0, 0), Rf_fround((targetImage->dim[2]-1.0) / 2.0, 0)); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ main.cpp:441:31: required from here 441 | Eigen::Vector3d start(Rf_fround((targetImage->dim[1]-1.0) / 2.0, 0), Rf_fround((targetImage->dim[2]-1.0) / 2.0, 0), Rf_fround((targetImage->dim[3]-1.0) / 2.0, 0)); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ main.cpp:441:31: required from here 441 | Eigen::Vector3d start(Rf_fround((targetImage->dim[1]-1.0) / 2.0, 0), Rf_fround((targetImage->dim[2]-1.0) / 2.0, 0), Rf_fround((targetImage->dim[3]-1.0) / 2.0, 0)); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue > >’ 50 | template class ReturnByValue | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:309:34: required from ‘class Eigen::MatrixLogarithmReturnValue >’ 309 | template class MatrixLogarithmReturnValue | ^~~~~~~~~~~~~~~~~~~~~~~~~~ main.cpp:475:29: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ main.cpp:475:34: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ main.cpp:475:34: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ 50 | template class ReturnByValue | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:396:35: required from ‘struct Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 396 | template struct MatrixExponentialReturnValue | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ main.cpp:475:42: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:361:24: required from ‘void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 361 | MatrixType numer = U + V; | ~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:362:22: required from ‘void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 362 | MatrixType denom = -U + V; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:362:25: required from ‘void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 362 | MatrixType denom = -U + V; | ~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:363:38: required from ‘void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 363 | result = denom.partialPivLu().solve(numer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:243:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:243:59: required from ‘static void Eigen::internal::matrix_exp_computeUV::run(const ArgType&, MatrixType&, MatrixType&, int&) [with ArgType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 243 | const RealScalar l1norm = arg.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:360:40: required from ‘void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 360 | matrix_exp_computeUV::run(arg, U, V, squarings); // Pade approximant is (U+V) / (-U+V) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:257:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:277: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:71:31: required from ‘void Eigen::internal::matrix_exp_pade3(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 71 | const MatrixType tmp = b[3] * A2 + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ~~~~~^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:246:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:71:65: required from ‘void Eigen::internal::matrix_exp_pade3(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 71 | const MatrixType tmp = b[3] * A2 + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:246:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:71:43: required from ‘void Eigen::internal::matrix_exp_pade3(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 71 | const MatrixType tmp = b[3] * A2 + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:246:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:71:36: required from ‘void Eigen::internal::matrix_exp_pade3(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 71 | const MatrixType tmp = b[3] * A2 + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:246:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:89:36: required from ‘void Eigen::internal::matrix_exp_pade5(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 89 | const MatrixType tmp = b[5] * A4 + b[3] * A2 + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:248:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:89:48: required from ‘void Eigen::internal::matrix_exp_pade5(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 89 | const MatrixType tmp = b[5] * A4 + b[3] * A2 + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:248:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:108:48: required from ‘void Eigen::internal::matrix_exp_pade7(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 108 | const MatrixType tmp = b[7] * A6 + b[5] * A4 + b[3] * A2 | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:250:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:109:5: required from ‘void Eigen::internal::matrix_exp_pade7(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 108 | const MatrixType tmp = b[7] * A6 + b[5] * A4 + b[3] * A2 | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:250:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:131:60: required from ‘void Eigen::internal::matrix_exp_pade9(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 131 | const MatrixType tmp = b[9] * A8 + b[7] * A6 + b[5] * A4 + b[3] * A2 | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:252:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:132:5: required from ‘void Eigen::internal::matrix_exp_pade9(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 131 | const MatrixType tmp = b[9] * A8 + b[7] * A6 + b[5] * A4 + b[3] * A2 | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 132 | + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:252:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:330: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:126:68: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 126 | Index pb_max_threads = std::max(1,size / Functor::Traits::nr); | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:333: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 87 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 91 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 95 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 82 | gebp_kernel gebp; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 141 | return func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 82 | gebp_kernel gebp; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 141 | return func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 2, Eigen::Stride<0, 0> >; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 2, Eigen::Stride<0, 0> >]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:278:57: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 104 | pack_rhs(blockB, rhs.getSubMapper(k,0), actual_kc, nc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 141 | return func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 115 | pack_lhs(blockA+info[tid].lhs_start*actual_kc, lhs.getSubMapper(info[tid].lhs_start,k), actual_kc, info[tid].lhs_length); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 141 | return func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 133 | gebp(res.getSubMapper(info[i].lhs_start, 0), blockA+info[i].lhs_start*actual_kc, blockB, info[i].lhs_length, actual_kc, nc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 141 | return func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<-1, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<-1, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<-1, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]’ 288 | typename internal::enable_if::MatchAtCompileTime),Derived>::type* = 0); | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 463 | BlockType A_0 = lu.block(0,0,rows,k); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:30: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 377 | = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, true>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ main.cpp:566:100: required from here 566 | Eigen::MatrixXd matrix = as(_transform1) * as(_transform2); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:483:24: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 155 | pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 493 | A11.template triangularView().solveInPlace(A12); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 274 | evaluator rhsEval(rhs); | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]’ 329 | internal::outer_product_selector_run(dst, lhs, rhs, sub(), is_row_major()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]’ 178 | generic_product_impl::subTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, -1, -1> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, -1, -1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, -1, -1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, -1, -1>, Eigen::Dense>’ 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:245:85: required from ‘void Eigen::internal::matrix_log_compute_big(const MatrixType&, MatrixType&) [with MatrixType = Eigen::Matrix, -1, -1>]’ 245 | RealScalar normTminusI = (T - MatrixType::Identity(T.rows(), T.rows())).cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:291:27: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > > >, Eigen::internal::member_sum, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > > >, Eigen::internal::member_sum, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > > >, Eigen::internal::member_sum, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > > >, Eigen::internal::member_sum, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:245:101: required from ‘void Eigen::internal::matrix_log_compute_big(const MatrixType&, MatrixType&) [with MatrixType = Eigen::Matrix, -1, -1>]’ 245 | RealScalar normTminusI = (T - MatrixType::Identity(T.rows(), T.rows())).cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:291:27: required from ‘MatrixType Eigen::internal::MatrixLogarithmAtomic::compute(const MatrixType&) [with MatrixType = Eigen::Matrix, -1, -1>]’ 291 | matrix_log_compute_big(A, result); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixFunction.h:247:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Matrix, 2, 2> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Matrix, 2, 2> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Matrix, 2, 2> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, 2, 2>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >, const Eigen::Matrix, 2, 2> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/ComplexSchur.h:293:32: required from ‘Eigen::ComplexSchur<_MatrixType>::ComplexScalar Eigen::ComplexSchur<_MatrixType>::computeShift(Index, Index) [with _MatrixType = Eigen::Matrix, -1, -1>; ComplexScalar = std::complex; Index = long int]’ 293 | RealScalar normt = t.cwiseAbs().sum(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/ComplexSchur.h:434:27: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >, const Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >, const Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = std::complex]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits, std::complex, false, false, 1, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:126:68: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, long int, general_matrix_matrix_product, 0, false, std::complex, 0, false, 0, 1>, Eigen::Block, -1, -1>, -1, -1, false>, Eigen::Block, -1, -1>, -1, -1, false>, Eigen::Matrix, -1, -1>, gemm_blocking_space<0, std::complex, std::complex, -1, -1, -1, 1, false> >; Index = long int]’ 126 | Index pb_max_threads = std::max(1,size / Functor::Traits::nr); | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1>; Lhs = Eigen::Block, -1, -1>, -1, -1, false>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; Scalar = std::complex]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix, -1, -1>; Lhs = Eigen::Block, -1, -1>, -1, -1, false>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix, -1, -1>; Lhs = Eigen::Block, -1, -1>, -1, -1, false>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; int Options = 0; Scalar = std::complex; SrcXprType = Eigen::Product, -1, -1>, -1, -1, false>, Eigen::Block, -1, -1>, -1, -1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix, -1, -1>; Src = Eigen::Product, -1, -1>, -1, -1, false>, Eigen::Block, -1, -1>, -1, -1, false>, 0>; Func = assign_op, std::complex >]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 775 | Vectorizable = unpacket_traits::vectorizable | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 780 | RealPacketSize = Vectorizable ? unpacket_traits::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 790 | typedef DoublePacket DoublePacketType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 793 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 794 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 796 | typedef typename conditional::type AccPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 799 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > > >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > > >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > > >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits, std::complex, false, false, 1, 1>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, std::complex, long int, Eigen::internal::blas_data_mapper, long int, 0, 0, 1>, 1, 4, false, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = std::complex; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = std::complex; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = std::complex]’ 82 | gebp_kernel gebp; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = std::complex; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product, 0, false, std::complex, 0, false, 0, 1>; Lhs = Eigen::Block, -1, -1>, -1, -1, false>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; Dest = Eigen::Matrix, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, std::complex, std::complex, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, long int, general_matrix_matrix_product, 0, false, std::complex, 0, false, 0, 1>, Eigen::Block, -1, -1>, -1, -1, false>, Eigen::Block, -1, -1>, -1, -1, false>, Eigen::Matrix, -1, -1>, gemm_blocking_space<0, std::complex, std::complex, -1, -1, -1, 1, false> >; Index = long int]’ 141 | return func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1>; Lhs = Eigen::Block, -1, -1>, -1, -1, false>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; Scalar = std::complex]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 775 | Vectorizable = unpacket_traits::vectorizable | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 780 | RealPacketSize = Vectorizable ? unpacket_traits::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 790 | typedef DoublePacket DoublePacketType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 793 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 794 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 796 | typedef typename conditional::type AccPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 799 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits, std::complex, false, false, 1, 2>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, std::complex, long int, Eigen::internal::blas_data_mapper, long int, 0, 0, 1>, 1, 4, false, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = std::complex; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = std::complex; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = std::complex]’ 82 | gebp_kernel gebp; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = std::complex; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product, 0, false, std::complex, 0, false, 0, 1>; Lhs = Eigen::Block, -1, -1>, -1, -1, false>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; Dest = Eigen::Matrix, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, std::complex, std::complex, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, long int, general_matrix_matrix_product, 0, false, std::complex, 0, false, 0, 1>, Eigen::Block, -1, -1>, -1, -1, false>, Eigen::Block, -1, -1>, -1, -1, false>, Eigen::Matrix, -1, -1>, gemm_blocking_space<0, std::complex, std::complex, -1, -1, -1, 1, false> >; Index = long int]’ 141 | return func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1>; Lhs = Eigen::Block, -1, -1>, -1, -1, false>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; Scalar = std::complex]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 775 | Vectorizable = unpacket_traits::vectorizable | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 780 | RealPacketSize = Vectorizable ? unpacket_traits::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 790 | typedef DoublePacket DoublePacketType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 793 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 794 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 796 | typedef typename conditional::type AccPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 799 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = std::complex]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = std::complex; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = std::complex; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = std::complex]’ 133 | gebp(res.getSubMapper(info[i].lhs_start, 0), blockA+info[i].lhs_start*actual_kc, blockB, info[i].lhs_length, actual_kc, nc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = std::complex; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product, 0, false, std::complex, 0, false, 0, 1>; Lhs = Eigen::Block, -1, -1>, -1, -1, false>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; Dest = Eigen::Matrix, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, std::complex, std::complex, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, long int, general_matrix_matrix_product, 0, false, std::complex, 0, false, 0, 1>, Eigen::Block, -1, -1>, -1, -1, false>, Eigen::Block, -1, -1>, -1, -1, false>, Eigen::Matrix, -1, -1>, gemm_blocking_space<0, std::complex, std::complex, -1, -1, -1, 1, false> >; Index = long int]’ 141 | return func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1>; Lhs = Eigen::Block, -1, -1>, -1, -1, false>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; Scalar = std::complex]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix, -1, -1>; Lhs = Eigen::Block, -1, -1>, -1, -1, false>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::unpacket_traits >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: required from ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = std::complex]’ 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = std::complex; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = std::complex; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = std::complex]’ 133 | gebp(res.getSubMapper(info[i].lhs_start, 0), blockA+info[i].lhs_start*actual_kc, blockB, info[i].lhs_length, actual_kc, nc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = std::complex; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product, 0, false, std::complex, 0, false, 0, 1>; Lhs = Eigen::Block, -1, -1>, -1, -1, false>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; Dest = Eigen::Matrix, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, std::complex, std::complex, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, long int, general_matrix_matrix_product, 0, false, std::complex, 0, false, 0, 1>, Eigen::Block, -1, -1>, -1, -1, false>, Eigen::Block, -1, -1>, -1, -1, false>, Eigen::Matrix, -1, -1>, gemm_blocking_space<0, std::complex, std::complex, -1, -1, -1, 1, false> >; Index = long int]’ 141 | return func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1>; Lhs = Eigen::Block, -1, -1>, -1, -1, false>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; Scalar = std::complex]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:746:64: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 746 | typedef DoublePacket::half> half; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > > >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > > >, -1, 1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > > >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > > >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > > >, -1, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1> > > >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0; LhsScalar = std::complex; LhsPacket = __vector(2) double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1525:13: required from ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = std::complex]’ 1501 | traits.loadLhs(&blA[(0 + 3 * K) * LhsProgress], A0); \ | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = std::complex; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = std::complex; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = std::complex]’ 133 | gebp(res.getSubMapper(info[i].lhs_start, 0), blockA+info[i].lhs_start*actual_kc, blockB, info[i].lhs_length, actual_kc, nc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = std::complex; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product, 0, false, std::complex, 0, false, 0, 1>; Lhs = Eigen::Block, -1, -1>, -1, -1, false>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; Dest = Eigen::Matrix, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, std::complex, std::complex, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, long int, general_matrix_matrix_product, 0, false, std::complex, 0, false, 0, 1>, Eigen::Block, -1, -1>, -1, -1, false>, Eigen::Block, -1, -1>, -1, -1, false>, Eigen::Matrix, -1, -1>, gemm_blocking_space<0, std::complex, std::complex, -1, -1, -1, 1, false> >; Index = long int]’ 141 | return func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1>; Lhs = Eigen::Block, -1, -1>, -1, -1, false>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; Scalar = std::complex]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 858 | dest = pload((const typename unpacket_traits::type*)(a)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 1; LhsScalar = std::complex; LhsPacket = __vector(2) double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1198:19: required from ‘void Eigen::internal::lhs_process_one_packet::peeled_kc_onestep(Eigen::Index, const LhsScalar*, const RhsScalar*, GEBPTraits, LhsPacket*, RhsPacketx4*, RhsPacket*, AccPacket*, AccPacket*, AccPacket*, AccPacket*) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, false, false, 1, 1>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int; RhsPacketx4 = Eigen::internal::QuadPacket >]’ 1198 | traits.loadLhs(&blA[(0+1*K)*LhsProgress], *A0); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1269:11: required from ‘void Eigen::internal::lhs_process_one_packet::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, ResScalar, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, int, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, false, false, 1, 1>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int]’ 1269 | peeled_kc_onestep(0, blA, blB, traits, &A0, &rhs_panel, &T0, &C0, &C1, &C2, &C3); | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1896:8: required from ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = std::complex]’ 1896 | p(res, blockA, blockB, alpha, peeled_mc1, peeled_mc_half, strideA, strideB, offsetA, offsetB, prefetch_res_offset, peeled_kc, pk, cols, depth, packet_cols4); | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = std::complex; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = std::complex; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = std::complex]’ 133 | gebp(res.getSubMapper(info[i].lhs_start, 0), blockA+info[i].lhs_start*actual_kc, blockB, info[i].lhs_length, actual_kc, nc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = std::complex; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product, 0, false, std::complex, 0, false, 0, 1>; Lhs = Eigen::Block, -1, -1>, -1, -1, false>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; Dest = Eigen::Matrix, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, std::complex, std::complex, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 858 | dest = pload((const typename unpacket_traits::type*)(a)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 2; LhsScalar = std::complex; LhsPacket = __vector(2) double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1198:19: required from ‘void Eigen::internal::lhs_process_one_packet::peeled_kc_onestep(Eigen::Index, const LhsScalar*, const RhsScalar*, GEBPTraits, LhsPacket*, RhsPacketx4*, RhsPacket*, AccPacket*, AccPacket*, AccPacket*, AccPacket*) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, false, false, 1, 2>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int; RhsPacketx4 = Eigen::internal::QuadPacket >]’ 1198 | traits.loadLhs(&blA[(0+1*K)*LhsProgress], *A0); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1269:11: required from ‘void Eigen::internal::lhs_process_one_packet::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, ResScalar, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, int, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, false, false, 1, 2>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int]’ 1269 | peeled_kc_onestep(0, blA, blB, traits, &A0, &rhs_panel, &T0, &C0, &C1, &C2, &C3); | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1902:8: required from ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = std::complex]’ 1902 | p(res, blockA, blockB, alpha, peeled_mc_half, peeled_mc_quarter, strideA, strideB, offsetA, offsetB, prefetch_res_offset, peeled_kc, pk, cols, depth, packet_cols4); | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = std::complex; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = std::complex; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = std::complex]’ 133 | gebp(res.getSubMapper(info[i].lhs_start, 0), blockA+info[i].lhs_start*actual_kc, blockB, info[i].lhs_length, actual_kc, nc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = std::complex; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product, 0, false, std::complex, 0, false, 0, 1>; Lhs = Eigen::Block, -1, -1>, -1, -1, false>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; Dest = Eigen::Matrix, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, std::complex, std::complex, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 858 | dest = pload((const typename unpacket_traits::type*)(a)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits, std::complex, false, true, 1, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1063:38: required from ‘struct Eigen::internal::gebp_kernel, std::complex, long int, Eigen::internal::blas_data_mapper, long int, 0, 0, 1>, 1, 4, false, true>’ 1063 | typedef typename Traits::ResScalar ResScalar; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]’ 157 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix, -1, -1>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView, -1, -1>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; int ProductTag = 8; Scalar = std::complex]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView, -1, -1>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; Derived = Eigen::internal::generic_product_impl, -1, -1>, 2>, Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = std::complex]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 775 | Vectorizable = unpacket_traits::vectorizable | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 780 | RealPacketSize = Vectorizable ? unpacket_traits::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 790 | typedef DoublePacket DoublePacketType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 793 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 794 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 796 | typedef typename conditional::type AccPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 799 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits, std::complex, true, false, 1, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1074:45: required from ‘struct Eigen::internal::gebp_kernel, std::complex, long int, Eigen::internal::blas_data_mapper, long int, 0, 0, 1>, 1, 4, false, true>’ 1074 | typedef typename SwappedTraits::ResScalar SResScalar; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]’ 157 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix, -1, -1>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView, -1, -1>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; int ProductTag = 8; Scalar = std::complex]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView, -1, -1>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; Derived = Eigen::internal::generic_product_impl, -1, -1>, 2>, Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = std::complex]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 775 | Vectorizable = unpacket_traits::vectorizable | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 780 | RealPacketSize = Vectorizable ? unpacket_traits::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 790 | typedef DoublePacket DoublePacketType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 793 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 794 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 796 | typedef typename conditional::type AccPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 799 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits, std::complex, false, true, 1, 1>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, std::complex, long int, Eigen::internal::blas_data_mapper, long int, 0, 0, 1>, 1, 4, false, true>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]’ 157 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix, -1, -1>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView, -1, -1>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; int ProductTag = 8; Scalar = std::complex]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView, -1, -1>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; Derived = Eigen::internal::generic_product_impl, -1, -1>, 2>, Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = std::complex]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 775 | Vectorizable = unpacket_traits::vectorizable | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 780 | RealPacketSize = Vectorizable ? unpacket_traits::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 790 | typedef DoublePacket DoublePacketType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 793 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 794 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 796 | typedef typename conditional::type AccPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 799 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits, std::complex, false, true, 1, 2>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, std::complex, long int, Eigen::internal::blas_data_mapper, long int, 0, 0, 1>, 1, 4, false, true>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]’ 157 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix, -1, -1>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView, -1, -1>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; int ProductTag = 8; Scalar = std::complex]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView, -1, -1>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; Derived = Eigen::internal::generic_product_impl, -1, -1>, 2>, Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = std::complex]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 775 | Vectorizable = unpacket_traits::vectorizable | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 780 | RealPacketSize = Vectorizable ? unpacket_traits::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 790 | typedef DoublePacket DoublePacketType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 793 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 794 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 796 | typedef typename conditional::type AccPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 799 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = true; ResScalar = std::complex]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]’ 205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 206 | actualPanelWidth, actualPanelWidth, cols, alpha, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix, -1, -1>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView, -1, -1>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; int ProductTag = 8; Scalar = std::complex]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView, -1, -1>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; Derived = Eigen::internal::generic_product_impl, -1, -1>, 2>, Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = std::complex]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView, -1, -1>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; Derived = Eigen::internal::generic_product_impl, -1, -1>, 2>, Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = true; int Arch = 1; int _PacketSize = 0; LhsScalar = std::complex; LhsPacket = __vector(2) double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1525:13: required from ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = true; ResScalar = std::complex]’ 1501 | traits.loadLhs(&blA[(0 + 3 * K) * LhsProgress], A0); \ | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]’ 205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 206 | actualPanelWidth, actualPanelWidth, cols, alpha, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix, -1, -1>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView, -1, -1>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; int ProductTag = 8; Scalar = std::complex]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView, -1, -1>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; Derived = Eigen::internal::generic_product_impl, -1, -1>, 2>, Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = std::complex]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 858 | dest = pload((const typename unpacket_traits::type*)(a)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits, std::complex, true, false, 1, 1>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, std::complex, long int, Eigen::internal::blas_data_mapper, long int, 0, 0, 1>, 1, 4, true, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 157 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1>, -1, -1, false> > >; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, -1, -1>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; int ProductTag = 8; Scalar = std::complex]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, -1, -1>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl >, const Eigen::Transpose, -1, -1>, -1, -1, false> > >, 6>, Eigen::Block, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = std::complex]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 775 | Vectorizable = unpacket_traits::vectorizable | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 780 | RealPacketSize = Vectorizable ? unpacket_traits::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 790 | typedef DoublePacket DoublePacketType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 793 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 794 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 796 | typedef typename conditional::type AccPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 799 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits, std::complex, true, false, 1, 2>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, std::complex, long int, Eigen::internal::blas_data_mapper, long int, 0, 0, 1>, 1, 4, true, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 157 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1>, -1, -1, false> > >; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, -1, -1>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; int ProductTag = 8; Scalar = std::complex]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, -1, -1>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl >, const Eigen::Transpose, -1, -1>, -1, -1, false> > >, 6>, Eigen::Block, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = std::complex]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 775 | Vectorizable = unpacket_traits::vectorizable | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 780 | RealPacketSize = Vectorizable ? unpacket_traits::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 790 | typedef DoublePacket DoublePacketType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 793 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 794 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 796 | typedef typename conditional::type AccPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 799 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = true; bool ConjugateRhs = false; ResScalar = std::complex]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 206 | actualPanelWidth, actualPanelWidth, cols, alpha, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1>, -1, -1, false> > >; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, -1, -1>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; int ProductTag = 8; Scalar = std::complex]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, -1, -1>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl >, const Eigen::Transpose, -1, -1>, -1, -1, false> > >, 6>, Eigen::Block, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = std::complex]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, -1, -1>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl >, const Eigen::Transpose, -1, -1>, -1, -1, false> > >, 6>, Eigen::Block, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = true; int Arch = 1; int _PacketSize = 1; LhsScalar = std::complex; LhsPacket = __vector(2) double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1198:19: required from ‘void Eigen::internal::lhs_process_one_packet::peeled_kc_onestep(Eigen::Index, const LhsScalar*, const RhsScalar*, GEBPTraits, LhsPacket*, RhsPacketx4*, RhsPacket*, AccPacket*, AccPacket*, AccPacket*, AccPacket*) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, false, true, 1, 1>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int; RhsPacketx4 = Eigen::internal::QuadPacket >]’ 1198 | traits.loadLhs(&blA[(0+1*K)*LhsProgress], *A0); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1269:11: required from ‘void Eigen::internal::lhs_process_one_packet::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, ResScalar, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, int, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, false, true, 1, 1>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int]’ 1269 | peeled_kc_onestep(0, blA, blB, traits, &A0, &rhs_panel, &T0, &C0, &C1, &C2, &C3); | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1896:8: required from ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = true; ResScalar = std::complex]’ 1896 | p(res, blockA, blockB, alpha, peeled_mc1, peeled_mc_half, strideA, strideB, offsetA, offsetB, prefetch_res_offset, peeled_kc, pk, cols, depth, packet_cols4); | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]’ 205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 206 | actualPanelWidth, actualPanelWidth, cols, alpha, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix, -1, -1>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 858 | dest = pload((const typename unpacket_traits::type*)(a)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = true; int Arch = 1; int _PacketSize = 2; LhsScalar = std::complex; LhsPacket = __vector(2) double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1198:19: required from ‘void Eigen::internal::lhs_process_one_packet::peeled_kc_onestep(Eigen::Index, const LhsScalar*, const RhsScalar*, GEBPTraits, LhsPacket*, RhsPacketx4*, RhsPacket*, AccPacket*, AccPacket*, AccPacket*, AccPacket*) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, false, true, 1, 2>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int; RhsPacketx4 = Eigen::internal::QuadPacket >]’ 1198 | traits.loadLhs(&blA[(0+1*K)*LhsProgress], *A0); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1269:11: required from ‘void Eigen::internal::lhs_process_one_packet::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, ResScalar, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, int, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, false, true, 1, 2>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int]’ 1269 | peeled_kc_onestep(0, blA, blB, traits, &A0, &rhs_panel, &T0, &C0, &C1, &C2, &C3); | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1902:8: required from ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = true; ResScalar = std::complex]’ 1902 | p(res, blockA, blockB, alpha, peeled_mc_half, peeled_mc_quarter, strideA, strideB, offsetA, offsetB, prefetch_res_offset, peeled_kc, pk, cols, depth, packet_cols4); | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]’ 205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 206 | actualPanelWidth, actualPanelWidth, cols, alpha, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix, -1, -1>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1> > >; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 858 | dest = pload((const typename unpacket_traits::type*)(a)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = true; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0; LhsScalar = std::complex; LhsPacket = __vector(2) double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1525:13: required from ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = true; bool ConjugateRhs = false; ResScalar = std::complex]’ 1501 | traits.loadLhs(&blA[(0 + 3 * K) * LhsProgress], A0); \ | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 206 | actualPanelWidth, actualPanelWidth, cols, alpha, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1>, -1, -1, false> > >; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, -1, -1>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; int ProductTag = 8; Scalar = std::complex]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix, -1, -1>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, -1, -1>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl >, const Eigen::Transpose, -1, -1>, -1, -1, false> > >, 6>, Eigen::Block, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = std::complex]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 858 | dest = pload((const typename unpacket_traits::type*)(a)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = true; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 1; LhsScalar = std::complex; LhsPacket = __vector(2) double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1198:19: required from ‘void Eigen::internal::lhs_process_one_packet::peeled_kc_onestep(Eigen::Index, const LhsScalar*, const RhsScalar*, GEBPTraits, LhsPacket*, RhsPacketx4*, RhsPacket*, AccPacket*, AccPacket*, AccPacket*, AccPacket*) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, true, false, 1, 1>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int; RhsPacketx4 = Eigen::internal::QuadPacket >]’ 1198 | traits.loadLhs(&blA[(0+1*K)*LhsProgress], *A0); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1269:11: required from ‘void Eigen::internal::lhs_process_one_packet::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, ResScalar, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, int, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, true, false, 1, 1>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int]’ 1269 | peeled_kc_onestep(0, blA, blB, traits, &A0, &rhs_panel, &T0, &C0, &C1, &C2, &C3); | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1896:8: required from ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = true; bool ConjugateRhs = false; ResScalar = std::complex]’ 1896 | p(res, blockA, blockB, alpha, peeled_mc1, peeled_mc_half, strideA, strideB, offsetA, offsetB, prefetch_res_offset, peeled_kc, pk, cols, depth, packet_cols4); | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 206 | actualPanelWidth, actualPanelWidth, cols, alpha, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1>, -1, -1, false> > >; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 858 | dest = pload((const typename unpacket_traits::type*)(a)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = true; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 2; LhsScalar = std::complex; LhsPacket = __vector(2) double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1198:19: required from ‘void Eigen::internal::lhs_process_one_packet::peeled_kc_onestep(Eigen::Index, const LhsScalar*, const RhsScalar*, GEBPTraits, LhsPacket*, RhsPacketx4*, RhsPacket*, AccPacket*, AccPacket*, AccPacket*, AccPacket*) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, true, false, 1, 2>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int; RhsPacketx4 = Eigen::internal::QuadPacket >]’ 1198 | traits.loadLhs(&blA[(0+1*K)*LhsProgress], *A0); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1269:11: required from ‘void Eigen::internal::lhs_process_one_packet::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, ResScalar, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, int, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, true, false, 1, 2>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int]’ 1269 | peeled_kc_onestep(0, blA, blB, traits, &A0, &rhs_panel, &T0, &C0, &C1, &C2, &C3); | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1902:8: required from ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = true; bool ConjugateRhs = false; ResScalar = std::complex]’ 1902 | p(res, blockA, blockB, alpha, peeled_mc_half, peeled_mc_quarter, strideA, strideB, offsetA, offsetB, prefetch_res_offset, peeled_kc, pk, cols, depth, packet_cols4); | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 206 | actualPanelWidth, actualPanelWidth, cols, alpha, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1>, -1, -1, false> > >; Rhs = Eigen::Block, -1, -1>, -1, -1, false>; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 413 | const typename internal::nested_eval::type tmp(m_src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue, const Eigen::ReturnByValue > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ main.cpp:475:43: required from here 475 | matrix = (matrix.log() * 0.5).exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 858 | dest = pload((const typename unpacket_traits::type*)(a)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:341: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, std::complex >, const Eigen::CwiseNullaryOp >, const Eigen::Matrix, 1, -1> >, const Eigen::CwiseUnaryOp >, const Eigen::Transpose, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >; Dest = Eigen::Transpose, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized] 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const std::complex*’ to ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = std::complex; bool ConjLhs = false; RhsScalar = std::complex; bool ConjRhs = true; int Version = 0]’ declared here 105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c helpers.cpp -o helpers.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from helpers.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c RNifti.cpp -o RNifti.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c AffineMatrix.cpp -o AffineMatrix.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from AffineMatrix.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ AffineMatrix.cpp:21:15: required from here 21 | if (matrix.rows() != 4 || matrix.cols() != 4) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ AffineMatrix.cpp:21:15: required from here 21 | if (matrix.rows() != 4 || matrix.cols() != 4) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c DeformationField.cpp -o DeformationField.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from DeformationField.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ DeformationField.cpp:147:11: required from ‘Rcpp::NumericVector DeformationField::findPoint(const RNifti::NiftiImage&, const Eigen::Matrix&, bool, const Eigen::Matrix&) const [with int Dim = 2; PrecisionType = float; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>]’ 147 | Point closestLoc = Point::Zero(); | ^~~~~~~~~~ DeformationField.cpp:326:200: required from here 326 | Rcpp::NumericVector DeformationField::findPoint (const RNifti::NiftiImage &sourceImage, const Eigen::Matrix &sourceLoc, const bool nearest, const Eigen::Matrix &start) const; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ DeformationField.cpp:147:11: required from ‘Rcpp::NumericVector DeformationField::findPoint(const RNifti::NiftiImage&, const Eigen::Matrix&, bool, const Eigen::Matrix&) const [with int Dim = 2; PrecisionType = float; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>]’ 147 | Point closestLoc = Point::Zero(); | ^~~~~~~~~~ DeformationField.cpp:326:200: required from here 326 | Rcpp::NumericVector DeformationField::findPoint (const RNifti::NiftiImage &sourceImage, const Eigen::Matrix &sourceLoc, const bool nearest, const Eigen::Matrix &start) const; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ DeformationField.cpp:147:35: required from ‘Rcpp::NumericVector DeformationField::findPoint(const RNifti::NiftiImage&, const Eigen::Matrix&, bool, const Eigen::Matrix&) const [with int Dim = 2; PrecisionType = float; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>]’ 147 | Point closestLoc = Point::Zero(); | ~~~~~~~~~~~^~ DeformationField.cpp:326:200: required from here 326 | Rcpp::NumericVector DeformationField::findPoint (const RNifti::NiftiImage &sourceImage, const Eigen::Matrix &sourceLoc, const bool nearest, const Eigen::Matrix &start) const; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ DeformationField.cpp:197:64: required from ‘Rcpp::NumericVector DeformationField::findPoint(const RNifti::NiftiImage&, const Eigen::Matrix&, bool, const Eigen::Matrix&) const [with int Dim = 2; PrecisionType = float; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>]’ 197 | const double currentDistance = (currentLoc - sourceLoc).norm(); | ~~~~~~~~~~~~^~~~~~~~~~~~ DeformationField.cpp:326:200: required from here 326 | Rcpp::NumericVector DeformationField::findPoint (const RNifti::NiftiImage &sourceImage, const Eigen::Matrix &sourceLoc, const bool nearest, const Eigen::Matrix &start) const; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ DeformationField.cpp:147:11: required from ‘Rcpp::NumericVector DeformationField::findPoint(const RNifti::NiftiImage&, const Eigen::Matrix&, bool, const Eigen::Matrix&) const [with int Dim = 3; PrecisionType = float; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>]’ 147 | Point closestLoc = Point::Zero(); | ^~~~~~~~~~ DeformationField.cpp:329:200: required from here 329 | Rcpp::NumericVector DeformationField::findPoint (const RNifti::NiftiImage &sourceImage, const Eigen::Matrix &sourceLoc, const bool nearest, const Eigen::Matrix &start) const; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ DeformationField.cpp:147:11: required from ‘Rcpp::NumericVector DeformationField::findPoint(const RNifti::NiftiImage&, const Eigen::Matrix&, bool, const Eigen::Matrix&) const [with int Dim = 3; PrecisionType = float; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>]’ 147 | Point closestLoc = Point::Zero(); | ^~~~~~~~~~ DeformationField.cpp:329:200: required from here 329 | Rcpp::NumericVector DeformationField::findPoint (const RNifti::NiftiImage &sourceImage, const Eigen::Matrix &sourceLoc, const bool nearest, const Eigen::Matrix &start) const; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ DeformationField.cpp:147:35: required from ‘Rcpp::NumericVector DeformationField::findPoint(const RNifti::NiftiImage&, const Eigen::Matrix&, bool, const Eigen::Matrix&) const [with int Dim = 3; PrecisionType = float; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>]’ 147 | Point closestLoc = Point::Zero(); | ~~~~~~~~~~~^~ DeformationField.cpp:329:200: required from here 329 | Rcpp::NumericVector DeformationField::findPoint (const RNifti::NiftiImage &sourceImage, const Eigen::Matrix &sourceLoc, const bool nearest, const Eigen::Matrix &start) const; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ DeformationField.cpp:197:64: required from ‘Rcpp::NumericVector DeformationField::findPoint(const RNifti::NiftiImage&, const Eigen::Matrix&, bool, const Eigen::Matrix&) const [with int Dim = 3; PrecisionType = float; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>]’ 197 | const double currentDistance = (currentLoc - sourceLoc).norm(); | ~~~~~~~~~~~~^~~~~~~~~~~~ DeformationField.cpp:329:200: required from here 329 | Rcpp::NumericVector DeformationField::findPoint (const RNifti::NiftiImage &sourceImage, const Eigen::Matrix &sourceLoc, const bool nearest, const Eigen::Matrix &start) const; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ DeformationField.cpp:163:27: required from ‘Rcpp::NumericVector DeformationField::findPoint(const RNifti::NiftiImage&, const Eigen::Matrix&, bool, const Eigen::Matrix&) const [with int Dim = 2; PrecisionType = float; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>]’ 163 | if (direction.norm() > 0.0) | ~~~~~~~~~~~~~~^~ DeformationField.cpp:326:200: required from here 326 | Rcpp::NumericVector DeformationField::findPoint (const RNifti::NiftiImage &sourceImage, const Eigen::Matrix &sourceLoc, const bool nearest, const Eigen::Matrix &start) const; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ DeformationField.cpp:197:81: required from ‘Rcpp::NumericVector DeformationField::findPoint(const RNifti::NiftiImage&, const Eigen::Matrix&, bool, const Eigen::Matrix&) const [with int Dim = 2; PrecisionType = float; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>]’ 197 | const double currentDistance = (currentLoc - sourceLoc).norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ DeformationField.cpp:326:200: required from here 326 | Rcpp::NumericVector DeformationField::findPoint (const RNifti::NiftiImage &sourceImage, const Eigen::Matrix &sourceLoc, const bool nearest, const Eigen::Matrix &start) const; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ DeformationField.cpp:163:27: required from ‘Rcpp::NumericVector DeformationField::findPoint(const RNifti::NiftiImage&, const Eigen::Matrix&, bool, const Eigen::Matrix&) const [with int Dim = 3; PrecisionType = float; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>]’ 163 | if (direction.norm() > 0.0) | ~~~~~~~~~~~~~~^~ DeformationField.cpp:329:200: required from here 329 | Rcpp::NumericVector DeformationField::findPoint (const RNifti::NiftiImage &sourceImage, const Eigen::Matrix &sourceLoc, const bool nearest, const Eigen::Matrix &start) const; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ DeformationField.cpp:197:81: required from ‘Rcpp::NumericVector DeformationField::findPoint(const RNifti::NiftiImage&, const Eigen::Matrix&, bool, const Eigen::Matrix&) const [with int Dim = 3; PrecisionType = float; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>]’ 197 | const double currentDistance = (currentLoc - sourceLoc).norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ DeformationField.cpp:329:200: required from here 329 | Rcpp::NumericVector DeformationField::findPoint (const RNifti::NiftiImage &sourceImage, const Eigen::Matrix &sourceLoc, const bool nearest, const Eigen::Matrix &start) const; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c aladin.cpp -o aladin.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from aladin.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ aladin.cpp:86:35: required from ‘AladinResult regAladin(const RNifti::NiftiImage&, const RNifti::NiftiImage&, LinearTransformScope, bool, int, int, int, int, const RNifti::NiftiImage&, const RNifti::NiftiImage&, const AffineMatrix&, bool, bool) [with PrecisionType = float]’ 86 | result.forwardTransform = AffineMatrix(*reg->GetTransformationMatrix()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ aladin.cpp:99:394: required from here 99 | AladinResult regAladin (const NiftiImage &sourceImage, const NiftiImage &targetImage, const LinearTransformScope scope, const bool symmetric, const int nLevels, const int maxIterations, const int useBlockPercentage, const int interpolation, const NiftiImage &sourceMaskImage, const NiftiImage &targetMaskImage, const AffineMatrix &initAffine, const bool verbose, const bool estimateOnly); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ aladin.cpp:86:35: required from ‘AladinResult regAladin(const RNifti::NiftiImage&, const RNifti::NiftiImage&, LinearTransformScope, bool, int, int, int, int, const RNifti::NiftiImage&, const RNifti::NiftiImage&, const AffineMatrix&, bool, bool) [with PrecisionType = float]’ 86 | result.forwardTransform = AffineMatrix(*reg->GetTransformationMatrix()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ aladin.cpp:99:394: required from here 99 | AladinResult regAladin (const NiftiImage &sourceImage, const NiftiImage &targetImage, const LinearTransformScope scope, const bool symmetric, const int nLevels, const int maxIterations, const int useBlockPercentage, const int interpolation, const NiftiImage &sourceMaskImage, const NiftiImage &targetMaskImage, const AffineMatrix &initAffine, const bool verbose, const bool estimateOnly); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c f3d.cpp -o f3d.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from f3d.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/AladinContent.cpp -o reg-lib/AladinContent.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_blockMatching.h:17, from reg-lib/AladinContent.h:10, from reg-lib/AladinContent.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/Platform.cpp -o reg-lib/Platform.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_blockMatching.h:17, from reg-lib/AladinContent.h:10, from reg-lib/Platform.cpp:2: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/_reg_aladin.cpp -o reg-lib/_reg_aladin.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_blockMatching.h:17, from reg-lib/_reg_aladin.h:19, from reg-lib/_reg_aladin.cpp:7: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/_reg_aladin_sym.cpp -o reg-lib/_reg_aladin_sym.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_blockMatching.h:17, from reg-lib/_reg_aladin.h:19, from reg-lib/_reg_aladin_sym.h:15, from reg-lib/_reg_aladin_sym.cpp:4: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/_reg_base.cpp -o reg-lib/_reg_base.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_tools.h:19, from reg-lib/cpu/_reg_globalTrans.h:18, from reg-lib/_reg_base.h:16, from reg-lib/_reg_base.cpp:15: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/_reg_f3d.cpp -o reg-lib/_reg_f3d.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_tools.h:19, from reg-lib/cpu/_reg_globalTrans.h:18, from reg-lib/_reg_base.h:16, from reg-lib/_reg_f3d.h:15, from reg-lib/_reg_f3d.cpp:15: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/_reg_f3d2.cpp -o reg-lib/_reg_f3d2.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_tools.h:19, from reg-lib/cpu/_reg_globalTrans.h:18, from reg-lib/_reg_base.h:16, from reg-lib/_reg_f3d.h:15, from reg-lib/_reg_f3d_sym.h:15, from reg-lib/_reg_f3d2.h:12, from reg-lib/_reg_f3d2.cpp:16: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/_reg_f3d_sym.cpp -o reg-lib/_reg_f3d_sym.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_tools.h:19, from reg-lib/cpu/_reg_globalTrans.h:18, from reg-lib/_reg_base.h:16, from reg-lib/_reg_f3d.h:15, from reg-lib/_reg_f3d_sym.h:15, from reg-lib/_reg_f3d_sym.cpp:15: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/cpu/CPUAffineDeformationFieldKernel.cpp -o reg-lib/cpu/CPUAffineDeformationFieldKernel.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_blockMatching.h:17, from reg-lib/AladinContent.h:10, from reg-lib/cpu/CPUAffineDeformationFieldKernel.h:5, from reg-lib/cpu/CPUAffineDeformationFieldKernel.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/cpu/CPUBlockMatchingKernel.cpp -o reg-lib/cpu/CPUBlockMatchingKernel.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_blockMatching.h:17, from reg-lib/cpu/CPUBlockMatchingKernel.h:5, from reg-lib/cpu/CPUBlockMatchingKernel.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/cpu/CPUConvolutionKernel.cpp -o reg-lib/cpu/CPUConvolutionKernel.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_tools.h:19, from reg-lib/cpu/_reg_globalTrans.h:18, from reg-lib/cpu/CPUConvolutionKernel.cpp:2: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/cpu/CPUKernelFactory.cpp -o reg-lib/cpu/CPUKernelFactory.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_blockMatching.h:17, from reg-lib/AladinContent.h:10, from reg-lib/KernelFactory.h:4, from reg-lib/cpu/CPUKernelFactory.h:4, from reg-lib/cpu/CPUKernelFactory.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/cpu/CPUOptimiseKernel.cpp -o reg-lib/cpu/CPUOptimiseKernel.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_blockMatching.h:17, from reg-lib/cpu/CPUOptimiseKernel.h:5, from reg-lib/cpu/CPUOptimiseKernel.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/cpu/CPUResampleImageKernel.cpp -o reg-lib/cpu/CPUResampleImageKernel.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_blockMatching.h:17, from reg-lib/AladinContent.h:10, from reg-lib/cpu/CPUResampleImageKernel.h:5, from reg-lib/cpu/CPUResampleImageKernel.cpp:1: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/cpu/_reg_blockMatching.cpp -o reg-lib/cpu/_reg_blockMatching.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_blockMatching.h:17, from reg-lib/cpu/_reg_blockMatching.cpp:12: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_blockMatching.cpp: In function ‘void block_matching_method2D(nifti_image*, nifti_image*, _reg_blockMatchingParam*, int*) [with DTYPE = double]’: reg-lib/cpu/_reg_blockMatching.cpp:354:65: warning: ‘maskPtr_XY’ may be used uninitialized [-Wmaybe-uninitialized] 354 | if (value == value && *maskPtr_XY > -1) { | ~~~~~~~~~~~~^~~~ reg-lib/cpu/_reg_blockMatching.cpp:285:9: note: ‘maskPtr_XY’ was declared here 285 | int *maskPtr_XY; | ^~~~~~~~~~ reg-lib/cpu/_reg_blockMatching.cpp: In function ‘void block_matching_method2D(nifti_image*, nifti_image*, _reg_blockMatchingParam*, int*) [with DTYPE = float]’: reg-lib/cpu/_reg_blockMatching.cpp:354:65: warning: ‘maskPtr_XY’ may be used uninitialized [-Wmaybe-uninitialized] 354 | if (value == value && *maskPtr_XY > -1) { | ~~~~~~~~~~~~^~~~ reg-lib/cpu/_reg_blockMatching.cpp:285:9: note: ‘maskPtr_XY’ was declared here 285 | int *maskPtr_XY; | ^~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/cpu/_reg_globalTrans.cpp -o reg-lib/cpu/_reg_globalTrans.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_tools.h:19, from reg-lib/cpu/_reg_globalTrans.h:18, from reg-lib/cpu/_reg_globalTrans.cpp:15: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_globalTrans.cpp: In function ‘void estimate_rigid_transformation2D(float**, float**, int, mat44*)’: reg-lib/cpu/_reg_globalTrans.cpp:297:4: warning: this ‘for’ clause does not guard... [-Wmisleading-indentation] 297 | for(size_t dance=0;dance<2;++dance) free(p1t[dance]); free(p1t); | ^~~ reg-lib/cpu/_reg_globalTrans.cpp:297:58: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘for’ 297 | for(size_t dance=0;dance<2;++dance) free(p1t[dance]); free(p1t); | ^~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/cpu/_reg_localTrans.cpp -o reg-lib/cpu/_reg_localTrans.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_tools.h:19, from reg-lib/cpu/_reg_globalTrans.h:18, from reg-lib/cpu/_reg_localTrans.h:20, from reg-lib/cpu/_reg_localTrans.cpp:13: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/cpu/_reg_localTrans_jac.cpp -o reg-lib/cpu/_reg_localTrans_jac.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_tools.h:19, from reg-lib/cpu/_reg_globalTrans.h:18, from reg-lib/cpu/_reg_localTrans.h:20, from reg-lib/cpu/_reg_localTrans_jac.h:16, from reg-lib/cpu/_reg_localTrans_jac.cpp:12: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/cpu/_reg_localTrans_regul.cpp -o reg-lib/cpu/_reg_localTrans_regul.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_tools.h:19, from reg-lib/cpu/_reg_splineBasis.h:15, from reg-lib/cpu/_reg_localTrans_regul.h:16, from reg-lib/cpu/_reg_localTrans_regul.cpp:12: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/cpu/_reg_maths.cpp -o reg-lib/cpu/_reg_maths.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_maths.cpp:4: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/cpu/_reg_maths_eigen.cpp -o reg-lib/cpu/_reg_maths_eigen.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_maths_eigen.cpp:4: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:52:11: required from here 52 | m(sm, sn) = static_cast(in[sm][sn]); | ~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:52:11: required from here 52 | m(sm, sn) = static_cast(in[sm][sn]); | ~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/SVDBase.h:274:22: required from ‘class Eigen::SVDBase, 2> >’ 274 | SingularValuesType m_singularValues; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:488:60: required from ‘class Eigen::JacobiSVD, 2>’ 488 | template class JacobiSVD | ^~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:64:33: required from here 64 | w[sn] = static_cast(svd.singularValues()(sn)); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:440:19: required from ‘class Eigen::ColPivHouseholderQR >’ 440 | RowVectorType m_temp; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:246:10: required from ‘struct Eigen::internal::qr_preconditioner_impl, 2, 0, true>’ 246 | QRType m_qr; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:609:110: required from ‘class Eigen::JacobiSVD, 2>’ 609 | internal::qr_preconditioner_impl m_qr_precond_morecols; | ^~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:64:33: required from here 64 | w[sn] = static_cast(svd.singularValues()(sn)); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:226:20: required from here 226 | Eigen::Matrix4d m; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:226:20: required from here 226 | Eigen::Matrix4d m; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue > >’ 50 | template class ReturnByValue | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:316:34: required from ‘class Eigen::MatrixSquareRootReturnValue >’ 316 | template class MatrixSquareRootReturnValue | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:14: required from here 234 | m = m.sqrt(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:244:20: required from here 244 | Eigen::Matrix3d tensor; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:244:20: required from here 244 | Eigen::Matrix3d tensor; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue > >’ 50 | template class ReturnByValue | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:396:35: required from ‘struct Eigen::MatrixExponentialReturnValue >’ 396 | template struct MatrixExponentialReturnValue | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:23: required from here 256 | tensor = tensor.exp(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue > >’ 50 | template class ReturnByValue | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:396:35: required from ‘struct Eigen::MatrixExponentialReturnValue >’ 396 | template struct MatrixExponentialReturnValue | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:13: required from here 273 | m = m.exp(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue > >’ 50 | template class ReturnByValue | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:309:34: required from ‘class Eigen::MatrixLogarithmReturnValue >’ 309 | template class MatrixLogarithmReturnValue | ^~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:23: required from here 303 | tensor = tensor.log(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue > >’ 50 | template class ReturnByValue | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:309:34: required from ‘class Eigen::MatrixLogarithmReturnValue >’ 309 | template class MatrixLogarithmReturnValue | ^~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:320:13: required from here 320 | m = m.log(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl, Eigen::Dense>’ 68 | class InverseImpl | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >’ 43 | class Inverse : public InverseImpl::StorageKind> | ^~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:336:21: required from here 336 | m_inv = m.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:679:37: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 679 | RealScalar scale = matrix.cwiseAbs().template maxCoeff(); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:691:29: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 691 | m_scaledMatrix = matrix / scale; | ~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:691:29: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 691 | m_scaledMatrix = matrix / scale; | ~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:697:32: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 697 | m_workMatrix = matrix.block(0,0,m_diagSize,m_diagSize) / scale; | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:697:60: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 697 | m_workMatrix = matrix.block(0,0,m_diagSize,m_diagSize) / scale; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, const Eigen::Matrix >, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:705:61: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 705 | RealScalar maxDiagEntry = m_workMatrix.cwiseAbs().diagonal().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:758:35: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 758 | if(computeU()) m_matrixU.col(i) *= m_workMatrix.coeff(i,i)/a; | ~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:765:62: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 765 | if(computeU() && (a::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:777:65: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 777 | RealScalar maxRemainingSingularValue = m_singularValues.tail(m_diagSize-i).maxCoeff(&pos); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:228:33: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 228 | m_adjoint = matrix.adjoint(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, -1, -1, false> >, 1>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:231:121: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 231 | svd.m_workMatrix = m_qr.matrixQR().block(0,0,matrix.rows(),matrix.rows()).template triangularView().adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/misc/RealSvd2x2.h:25:26: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]’ 25 | Matrix m; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 730 | internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:297:10: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]’ 297 | RowXpr x(this->row(p)); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:733:40: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 733 | m_workMatrix.applyOnTheLeft(p,q,j_left); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, 1, true>; Scalar = double]’ 20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:758:39: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 758 | if(computeU()) m_matrixU.col(i) *= m_workMatrix.coeff(i,i)/a; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:555:41: required from ‘Eigen::PartialPivLU::Scalar Eigen::PartialPivLU::determinant() const [with _MatrixType = Eigen::Matrix; Scalar = double]’ 555 | return Scalar(m_det_p) * m_lu.diagonal().prod(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:40: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:297:21: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 297 | dst.diagonal().setOnes(); | ~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:303:34: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:59: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:310:26: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 310 | dst.col(k).tail(rows()-k-1).setZero(); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:82: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:297:10: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]’ 297 | RowXpr x(this->row(p)); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/misc/RealSvd2x2.h:46:19: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]’ 46 | m.applyOnTheLeft(0,1,rot1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 730 | internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 1, 2, false> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 2, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 2, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:297:10: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]’ 297 | RowXpr x(this->row(p)); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/misc/RealSvd2x2.h:46:19: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]’ 46 | m.applyOnTheLeft(0,1,rot1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 730 | internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:277: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 1, -1, false>; VectorY = Eigen::Block, 1, -1, false>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]’ 299 | internal::apply_rotation_in_the_plane(x, y, j); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:733:40: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 733 | m_workMatrix.applyOnTheLeft(p,q,j_left); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, -1, 1, true>; VectorY = Eigen::Block, -1, 1, true>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]’ 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:734:53: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 734 | if(computeU()) m_matrixU.applyOnTheRight(p,q,j_left.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 169 | this->col(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 131 | this->row(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Matrix; bool Big = false]’ 846 | return m = Derived::Identity(m.rows(), m.cols()); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Matrix]’ 875 | return internal::setIdentity_impl::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:892:21: required from ‘Derived& Eigen::MatrixBase::setIdentity(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]’ 892 | return setIdentity(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:698:45: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 698 | if(m_computeFullU) m_matrixU.setIdentity(m_rows,m_rows); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 1, 2, false>; VectorY = Eigen::Block, 1, 2, false>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]’ 299 | internal::apply_rotation_in_the_plane(x, y, j); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/misc/RealSvd2x2.h:46:19: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]’ 46 | m.applyOnTheLeft(0,1,rot1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 730 | internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, -1, 1, false> >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ 374 | this->visit(maxVisitor); | ~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ 501 | return maxCoeff(index); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:777:88: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 777 | RealScalar maxRemainingSingularValue = m_singularValues.tail(m_diagSize-i).maxCoeff(&pos); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:85:128: required from ‘class Eigen::HessenbergDecomposition >’ 85 | typedef HouseholderSequence::type> HouseholderSequenceType; | ^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:230:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:268:38: required from ‘static void Eigen::internal::matrix_sqrt_compute::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 268 | PlainType sqrtT = PlainType::Zero(arg.rows(), arg.cols()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:361:24: required from ‘void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 361 | MatrixType numer = U + V; | ~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:362:22: required from ‘void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 362 | MatrixType denom = -U + V; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:362:25: required from ‘void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 362 | MatrixType denom = -U + V; | ~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:363:38: required from ‘void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 363 | result = denom.partialPivLu().solve(numer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:361:24: required from ‘void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 361 | MatrixType numer = U + V; | ~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:362:22: required from ‘void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 362 | MatrixType denom = -U + V; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:362:25: required from ‘void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 362 | MatrixType denom = -U + V; | ~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:363:38: required from ‘void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 363 | result = denom.partialPivLu().solve(numer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 3, 3> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 3, 3> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 3, 3> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 3, 3> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 3, 3> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, 3, 3>, Eigen::Dense>’ 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 4, 4> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 4, 4> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 4, 4> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 4, 4> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 4, 4> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl >, Eigen::Matrix, 4, 4>, Eigen::Dense>’ 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:320:14: required from here 320 | m = m.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 1; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:679:71: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 679 | RealScalar scale = matrix.cwiseAbs().template maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:406:42: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::setConstant(const Scalar&) [with _MatrixType = Eigen::Matrix; unsigned int _Mode = 10; TriangularViewType = Eigen::TriangularView, 10>; Scalar = double]’ 406 | { return *this = MatrixType::Constant(derived().rows(), derived().cols(), value); } | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:409:44: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::setZero() [with _MatrixType = Eigen::Matrix; unsigned int _Mode = 10; TriangularViewType = Eigen::TriangularView, 10>]’ 409 | TriangularViewType& setZero() { return setConstant(Scalar(0)); } | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:298:61: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 298 | dst.template triangularView().setZero(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 533 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:243:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:243:59: required from ‘static void Eigen::internal::matrix_exp_computeUV::run(const ArgType&, MatrixType&, MatrixType&, int&) [with ArgType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 243 | const RealScalar l1norm = arg.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:360:40: required from ‘void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 360 | matrix_exp_computeUV::run(arg, U, V, squarings); // Pade approximant is (U+V) / (-U+V) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:257:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:243:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:243:59: required from ‘static void Eigen::internal::matrix_exp_computeUV::run(const ArgType&, MatrixType&, MatrixType&, int&) [with ArgType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 243 | const RealScalar l1norm = arg.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:360:40: required from ‘void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 360 | matrix_exp_computeUV::run(arg, U, V, squarings); // Pade approximant is (U+V) / (-U+V) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:257:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 93 | essential = tail / (c0 - beta); | ~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:34: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue > >’ 50 | template class ReturnByValue | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:339:38: required from ‘struct Eigen::internal::HessenbergDecompositionMatrixHReturnType >’ 339 | template struct HessenbergDecompositionMatrixHReturnType | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:39: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:70:27: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:71:31: required from ‘void Eigen::internal::matrix_exp_pade3(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 71 | const MatrixType tmp = b[3] * A2 + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ~~~~~^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:246:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:71:65: required from ‘void Eigen::internal::matrix_exp_pade3(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 71 | const MatrixType tmp = b[3] * A2 + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:246:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:71:43: required from ‘void Eigen::internal::matrix_exp_pade3(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 71 | const MatrixType tmp = b[3] * A2 + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:246:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:71:36: required from ‘void Eigen::internal::matrix_exp_pade3(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 71 | const MatrixType tmp = b[3] * A2 + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:246:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:89:36: required from ‘void Eigen::internal::matrix_exp_pade5(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 89 | const MatrixType tmp = b[5] * A4 + b[3] * A2 + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:248:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:89:48: required from ‘void Eigen::internal::matrix_exp_pade5(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 89 | const MatrixType tmp = b[5] * A4 + b[3] * A2 + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:248:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:108:48: required from ‘void Eigen::internal::matrix_exp_pade7(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 108 | const MatrixType tmp = b[7] * A6 + b[5] * A4 + b[3] * A2 | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:250:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:109:5: required from ‘void Eigen::internal::matrix_exp_pade7(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 108 | const MatrixType tmp = b[7] * A6 + b[5] * A4 + b[3] * A2 | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:250:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:131:60: required from ‘void Eigen::internal::matrix_exp_pade9(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 131 | const MatrixType tmp = b[9] * A8 + b[7] * A6 + b[5] * A4 + b[3] * A2 | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:252:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:132:5: required from ‘void Eigen::internal::matrix_exp_pade9(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 131 | const MatrixType tmp = b[9] * A8 + b[7] * A6 + b[5] * A4 + b[3] * A2 | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 132 | + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:252:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:71:31: required from ‘void Eigen::internal::matrix_exp_pade3(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 71 | const MatrixType tmp = b[3] * A2 + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ~~~~~^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:246:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:71:65: required from ‘void Eigen::internal::matrix_exp_pade3(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 71 | const MatrixType tmp = b[3] * A2 + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:246:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:71:43: required from ‘void Eigen::internal::matrix_exp_pade3(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 71 | const MatrixType tmp = b[3] * A2 + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:246:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:71:36: required from ‘void Eigen::internal::matrix_exp_pade3(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 71 | const MatrixType tmp = b[3] * A2 + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:246:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:89:36: required from ‘void Eigen::internal::matrix_exp_pade5(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 89 | const MatrixType tmp = b[5] * A4 + b[3] * A2 + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:248:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:89:48: required from ‘void Eigen::internal::matrix_exp_pade5(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 89 | const MatrixType tmp = b[5] * A4 + b[3] * A2 + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:248:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:108:48: required from ‘void Eigen::internal::matrix_exp_pade7(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 108 | const MatrixType tmp = b[7] * A6 + b[5] * A4 + b[3] * A2 | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:250:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:109:5: required from ‘void Eigen::internal::matrix_exp_pade7(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 108 | const MatrixType tmp = b[7] * A6 + b[5] * A4 + b[3] * A2 | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:250:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:131:60: required from ‘void Eigen::internal::matrix_exp_pade9(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 131 | const MatrixType tmp = b[9] * A8 + b[7] * A6 + b[5] * A4 + b[3] * A2 | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:252:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:132:5: required from ‘void Eigen::internal::matrix_exp_pade9(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix; MatU = Eigen::Matrix; MatV = Eigen::Matrix]’ 131 | const MatrixType tmp = b[9] * A8 + b[7] * A6 + b[5] * A4 + b[3] * A2 | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 132 | + b[1] * MatrixType::Identity(A.rows(), A.cols()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:252:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, 1, -1, false> >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, 1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 374 | this->visit(maxVisitor); | ~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 501 | return maxCoeff(index); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:521:90: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 521 | RealScalar biggest_col_sq_norm = numext::abs2(m_colNormsUpdated.tail(cols-k).maxCoeff(&biggest_col_index)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 79 | Scalar c0 = coeff(0); | ~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 182 | return coeff(index); | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<-1, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<-1, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<-1, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]’ 288 | typename internal::enable_if::MatchAtCompileTime),Derived>::type* = 0); | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 463 | BlockType A_0 = lu.block(0,0,rows,k); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:30: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:297:21: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 4, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 4, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:339:57: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 339 | Vector3s firstHouseholderVector = Vector3s::Zero(), shiftInfo; | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 2, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 2, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 2, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:85:128: required from ‘class Eigen::HessenbergDecomposition >’ 85 | typedef HouseholderSequence::type> HouseholderSequenceType; | ^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:230:41: required from ‘class Eigen::RealSchur >’ 230 | HessenbergDecomposition m_hess; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:316:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 2, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 2, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 2, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Product, 2, 2>, Eigen::DiagonalWrapper >, const Eigen::Matrix, 2, 1> > >, 1>, Eigen::Inverse, 2, 2> >, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Product, 2, 2>, Eigen::DiagonalWrapper >, const Eigen::Matrix, 2, 1> > >, 1>, Eigen::Inverse, 2, 2> >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Product, 2, 2>, Eigen::DiagonalWrapper >, const Eigen::Matrix, 2, 1> > >, 1>, Eigen::Inverse, 2, 2> >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >, const Eigen::Product, 2, 2>, Eigen::DiagonalWrapper >, const Eigen::Matrix, 2, 1> > >, 1>, Eigen::Inverse, 2, 2> >, 0>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >, const Eigen::Product, 2, 2>, Eigen::DiagonalWrapper >, const Eigen::Matrix, 2, 1> > >, 1>, Eigen::Inverse, 2, 2> >, 0> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:28:105: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; Eigen::Index = long int]’ 28 | = (es.eigenvectors() * es.eigenvalues().cwiseSqrt().asDiagonal() * es.eigenvectors().inverse()).real(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:111:40: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:63:73: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; Eigen::Index = long int]’ 63 | Matrix A = sqrtT.coeff(j,j) * Matrix::Identity(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 153 | matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(T, i, j, sqrtT); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:63:43: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; Eigen::Index = long int]’ 63 | Matrix A = sqrtT.coeff(j,j) * Matrix::Identity(); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:55: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; Eigen::Index = long int]’ 65 | sqrtT.template block<2,1>(i,j) = A.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 2, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 2, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 2, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 2, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 2, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 2, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 2, 2, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 2, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Transpose >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Transpose > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:52:67: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; Eigen::Index = long int]’ 52 | sqrtT.template block<1,2>(i,j).transpose() = A.fullPivLu().solve(rhs.transpose()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 4, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 4, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 4, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 4, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 4, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 4, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 1, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 4, false>, 1, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 4, false>, 1, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, 1, 4, false>, 1, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, 4, false>, 1, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, 4, false>, 1, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:38:49: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:697:18: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 697 | m_workMatrix = matrix.block(0,0,m_diagSize,m_diagSize) / scale; | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 377 | = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 4, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 4, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 4, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 169 | this->col(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 131 | this->row(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 4, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 4, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 4, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 4, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 4, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:370:68: required from ‘typename MatrixType::Scalar Eigen::RealSchur<_MatrixType>::computeNormOfT() [with _MatrixType = Eigen::Matrix; typename MatrixType::Scalar = double]’ 370 | norm += m_matT.col(j).segment(0, (std::min)(size,j+2)).cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:309:17: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 4, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 4, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 4, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 4, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 4, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 4, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:94:41: required from ‘void Eigen::internal::matrix_sqrt_quasi_triangular_solve_auxiliary_equation(MatrixType&, const MatrixType&, const MatrixType&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 94 | result = coeffMatrix.fullPivLu().solve(rhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:245:85: required from ‘void Eigen::internal::matrix_log_compute_big(const MatrixType&, MatrixType&) [with MatrixType = Eigen::Matrix, -1, -1, 0, 3, 3>]’ 245 | RealScalar normTminusI = (T - MatrixType::Identity(T.rows(), T.rows())).cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:291:27: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > > >, Eigen::internal::member_sum, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > > >, Eigen::internal::member_sum, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > > >, Eigen::internal::member_sum, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > > >, Eigen::internal::member_sum, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:245:101: required from ‘void Eigen::internal::matrix_log_compute_big(const MatrixType&, MatrixType&) [with MatrixType = Eigen::Matrix, -1, -1, 0, 3, 3>]’ 245 | RealScalar normTminusI = (T - MatrixType::Identity(T.rows(), T.rows())).cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:291:27: required from ‘MatrixType Eigen::internal::MatrixLogarithmAtomic::compute(const MatrixType&) [with MatrixType = Eigen::Matrix, -1, -1, 0, 3, 3>]’ 291 | matrix_log_compute_big(A, result); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixFunction.h:247:23: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:245:85: required from ‘void Eigen::internal::matrix_log_compute_big(const MatrixType&, MatrixType&) [with MatrixType = Eigen::Matrix, -1, -1, 0, 4, 4>]’ 245 | RealScalar normTminusI = (T - MatrixType::Identity(T.rows(), T.rows())).cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:291:27: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:320:14: required from here 320 | m = m.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > > >, Eigen::internal::member_sum, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > > >, Eigen::internal::member_sum, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > > >, Eigen::internal::member_sum, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > > >, Eigen::internal::member_sum, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:245:101: required from ‘void Eigen::internal::matrix_log_compute_big(const MatrixType&, MatrixType&) [with MatrixType = Eigen::Matrix, -1, -1, 0, 4, 4>]’ 245 | RealScalar normTminusI = (T - MatrixType::Identity(T.rows(), T.rows())).cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:291:27: required from ‘MatrixType Eigen::internal::MatrixLogarithmAtomic::compute(const MatrixType&) [with MatrixType = Eigen::Matrix, -1, -1, 0, 4, 4>]’ 291 | matrix_log_compute_big(A, result); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixFunction.h:247:23: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:320:14: required from here 320 | m = m.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:511:85: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 511 | RealScalar threshold_helper = numext::abs2(m_colNormsUpdated.maxCoeff() * NumTraits::epsilon()) / RealScalar(rows); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, -1, 1, false> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 4, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 4, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7: required from ‘Eigen::MapBase::ScalarWithConstIfNotLvalue& Eigen::MapBase::coeffRef(Eigen::Index) [with Derived = Eigen::Block, 4, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]’ 15 | EIGEN_STATIC_ASSERT((int(internal::evaluator::Flags) & LinearAccessBit) || Derived::IsVectorAtCompileTime, \ | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:306:25: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 306 | matA.col(i).coeffRef(i+1) = beta; | ~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 4, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 4, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 4, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 4, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 4, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 4, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 4, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 4, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 4, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 4, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, 4, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:314:35: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 4, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 4, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 4, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 4, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 4, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 4, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, -1, true>, 4, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 4, -1, true>, 4, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 4, -1, true>, 4, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, -1, true>, 4, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, -1, true>, 4, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 4, -1, true>, 4, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, -1, true>, 4, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, -1, true>, 4, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, -1, true>, 4, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 4, -1, true>, 4, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 4, -1, true>, 4, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 4, -1, true>, 4, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, -1, true>, 4, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 4, -1, true>, 4, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 4, -1, true>, 4, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, -1, true>, 4, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, -1, true>, 4, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 4, -1, true>, 4, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, 4, 1, true>, -1>; Derived = Eigen::Block, 4, -1, true>; Scalar = double]’ 169 | this->col(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:700:10: required from ‘Derived& Eigen::DenseBase::setOnes() [with Derived = Eigen::Diagonal, 0>]’ 700 | return setConstant(Scalar(1)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:297:31: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:161:11: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 161 | *this *= Scalar(1)-tau; | ~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 4, 1, true>, -1, 1, false>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Block, 4, 1, true>, -1, 1, false>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:310:46: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 4, -1, true>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 4, -1, true>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 4, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 4, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 4, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 4, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 4, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 4, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 4, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::Matrix; Derived = Eigen::Matrix; Scalar = double; RealScalar = double]’ 93 | essential = tail / (c0 - beta); | ~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:516:22: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 2, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 2, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 2, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Matrix; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::Matrix; Derived = Eigen::Matrix; Scalar = double; RealScalar = double]’ 93 | essential = tail / (c0 - beta); | ~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:536:20: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Matrix; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 4, 4> > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 4, 4>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:320:14: required from here 320 | m = m.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 4, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 4, 1, true>, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, 4, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, 4, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 93 | essential = tail / (c0 - beta); | ~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, 4, -1, true>; Scalar = double]’ 20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:161:11: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, 4, 1, true>, -1>; Derived = Eigen::Block, 4, -1, true>; Scalar = double]’ 161 | *this *= Scalar(1)-tau; | ~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 4, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 4, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 4, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 4, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 4, 1, true>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 4, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 4, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 4, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 4, -1, true>, 1, -1, false>; VectorY = Eigen::Block, 4, -1, true>, 1, -1, false>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, 4, -1, true>; Eigen::Index = long int]’ 299 | internal::apply_rotation_in_the_plane(x, y, j); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:417:47: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]’ 417 | m_matT.rightCols(size-iu+1).applyOnTheLeft(iu-1, iu, rot.adjoint()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 4, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 4, -1, true>, 1, -1, false>; VectorY = Eigen::Block, 4, -1, true>, 1, -1, false>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, 4, -1, true>; Eigen::Index = long int]’ 299 | internal::apply_rotation_in_the_plane(x, y, j); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:417:47: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]’ 417 | m_matT.rightCols(size-iu+1).applyOnTheLeft(iu-1, iu, rot.adjoint()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 4, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, 4, false>, -1, 1, true> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, -1, 4, false>, -1, 1, true>; VectorY = Eigen::Block, -1, 4, false>, -1, 1, true>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, -1, 4, false>; Eigen::Index = long int]’ 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:418:41: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]’ 418 | m_matT.topRows(iu+1).applyOnTheRight(iu-1, iu, rot); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 4, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, -1, 4, false>, -1, 1, true>; VectorY = Eigen::Block, -1, 4, false>, -1, 1, true>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, -1, 4, false>; Eigen::Index = long int]’ 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:418:41: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]’ 418 | m_matT.topRows(iu+1).applyOnTheRight(iu-1, iu, rot); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 2, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 2, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:258:43: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 258 | Scalar scale = matrix.derived().cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:34: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue > >’ 50 | template class ReturnByValue | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:339:38: required from ‘struct Eigen::internal::HessenbergDecompositionMatrixHReturnType >’ 339 | template struct HessenbergDecompositionMatrixHReturnType | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:39: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, 2, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, 2, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, 2, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, 2, false>, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, 2, false>, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:468:100: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 468 | norm += m_matT.row(j).segment((std::max)(j-1,Index(0)), size-(std::max)(j-1,Index(0))).cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:615:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, 2, 2>, 2, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, 2, 2>, 2, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, 2, 2>, 2, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >, const Eigen::Block, 2, 2>, 2, 1, true>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >, const Eigen::Block, 2, 2>, 2, 1, true> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 2, 2>, 2, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = std::complex]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:147:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<-1, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<-1, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<-1, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]’ 288 | typename internal::enable_if::MatchAtCompileTime),Derived>::type* = 0); | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = 3; Eigen::Index = long int]’ 463 | BlockType A_0 = lu.block(0,0,rows,k); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<3, 3, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<-1, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<-1, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<-1, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]’ 288 | typename internal::enable_if::MatchAtCompileTime),Derived>::type* = 0); | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = 4; Eigen::Index = long int]’ 463 | BlockType A_0 = lu.block(0,0,rows,k); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<4, 4, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Matrix, 2, 2> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Matrix, 2, 2> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Matrix, 2, 2> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >, const Eigen::Matrix, 2, 2>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >, const Eigen::Matrix, 2, 2> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/ComplexSchur.h:293:32: required from ‘Eigen::ComplexSchur<_MatrixType>::ComplexScalar Eigen::ComplexSchur<_MatrixType>::computeShift(Index, Index) [with _MatrixType = Eigen::Matrix, 3, 3>; ComplexScalar = std::complex; Index = long int]’ 293 | RealScalar normt = t.cwiseAbs().sum(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/ComplexSchur.h:434:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 78 | RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:333: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 87 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 91 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 95 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’ 296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:330: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:92:29: required from ‘struct Eigen::internal::product_triangular_matrix_matrix’ 92 | SmallPanelWidth = 2 * EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr), | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ 357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 78 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 78 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:86:22: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:86:22: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:297:21: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:281:10: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 281 | m_matT *= scale; | ~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 2, 1, true>, -1, 1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:525:40: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 525 | m_matT.col(n).tail(size-i) /= t; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:598:45: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 598 | m_matT.block(i, n-1, size-i, 2) /= t; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:495:44: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 495 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 122 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:470:10: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:520:35: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 519 | biggest_in_corner = m_lu.bottomRightCorner(rows-k, cols-k) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 520 | .unaryExpr(Scoring()) | ~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:561:85: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 3, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 3, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 3, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = 3; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 377 | = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 4, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 4, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 4, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 4, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 4, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 4, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = 4; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 377 | = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 4, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 4, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 4, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 4, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 4, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 4, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ 194 | ::run(rhs.transpose(),lhs.transpose(), dstT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 150 | Matrix triangularBuffer(a); | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 153 | triangularBuffer.diagonal().setZero(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:483:24: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 155 | pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 493 | A11.template triangularView().solveInPlace(A12); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 162 | pack_lhs(blockA, tri.getSubMapper(startTarget,startBlock), actualPanelWidth, lengthTarget); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 493 | A11.template triangularView().solveInPlace(A12); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 164 | gebp_kernel(other.getSubMapper(startTarget,j2), blockA, blockB+actual_kc*j2, lengthTarget, actualPanelWidth, actual_cols, Scalar(-1), | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 165 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 493 | A11.template triangularView().solveInPlace(A12); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 182 | return coeff(index); | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 4, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, 4, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 4, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 4, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 4, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:370:74: required from ‘typename MatrixType::Scalar Eigen::RealSchur<_MatrixType>::computeNormOfT() [with _MatrixType = Eigen::Matrix; typename MatrixType::Scalar = double]’ 370 | norm += m_matT.col(j).segment(0, (std::min)(size,j+2)).cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:309:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 309 | Scalar norm = computeNormOfT(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 2, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 2, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 2, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 169 | this->col(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 131 | this->row(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 2, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:370:68: required from ‘typename MatrixType::Scalar Eigen::RealSchur<_MatrixType>::computeNormOfT() [with _MatrixType = Eigen::Matrix; typename MatrixType::Scalar = double]’ 370 | norm += m_matT.col(j).segment(0, (std::min)(size,j+2)).cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:309:17: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 2, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, 2, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, 2, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, 2, false>, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, 2, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 2, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 2, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 2, false>, 1, -1, false> >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 2, false>, 1, -1, false> >, const Eigen::Block, 2, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 2, false>, 1, -1, false> >, const Eigen::Block, 2, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 2, false>, 1, -1, false> >, const Eigen::Block, 2, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 2, false>, 1, -1, false> >, const Eigen::Block, 2, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, 2, false>, 1, -1, false>; U = Eigen::Block, 2, 1, true>, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:520:35: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 519 | biggest_in_corner = m_lu.bottomRightCorner(rows-k, cols-k) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 520 | .unaryExpr(Scoring()) | ~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:561:85: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 2, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 2, false>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 2, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 2, 2, false>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Block, 2, 2, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, 2, 2, false>; Derived = Eigen::Matrix]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:64:5: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 4, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 4, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 4, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 4, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 4, false>, 1, -1, false> >, const Eigen::Block, 4, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 4, false>, 1, -1, false> >, const Eigen::Block, 4, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 4, false>, 1, -1, false> >, const Eigen::Block, 4, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 4, false>, 1, -1, false> >, const Eigen::Block, 4, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 4, false>, 1, -1, false> >, const Eigen::Block, 4, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, 4, false>, 1, -1, false>; Rhs = Eigen::Block, 4, 1, true>, -1, 1, false>]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:43: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = 3; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 390 | lu.col(k).tail(fix(rrows)) /= lu.coeff(k,k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 341 | dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 175 | pack_rhs(blockB, rhs.getSubMapper(actual_k2,0), actual_kc, cols); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ 357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 274 | evaluator rhsEval(rhs); | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]’ 329 | internal::outer_product_selector_run(dst, lhs, rhs, sub(), is_row_major()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]’ 178 | generic_product_impl::subTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 4, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 4, 1, true>, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 4, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 4, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 4, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 4, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 4, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 4, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 4, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 4, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 4, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, -1, true>, 4, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, -1, true>, 4, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, -1, true>, 4, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 4, -1, true>, 4, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 4, -1, true>, 4, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 4, -1, true>, 4, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = mul_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::mul_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = mul_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:28: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:161:11: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 2, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 2, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 2, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 2, 2, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 2, 2, false>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 2, 2, false>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7: required from ‘Eigen::MapBase::ScalarWithConstIfNotLvalue& Eigen::MapBase::coeffRef(Eigen::Index) [with Derived = Eigen::Block, 2, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]’ 15 | EIGEN_STATIC_ASSERT((int(internal::evaluator::Flags) & LinearAccessBit) || Derived::IsVectorAtCompileTime, \ | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:306:25: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 306 | matA.col(i).coeffRef(i+1) = beta; | ~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 2, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 2, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, 2, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:314:35: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true>, 2, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true>, 2, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, -1, true>, 2, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true>, 2, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true>, 2, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, -1, true>, 2, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, 2, 1, true>, -1>; Derived = Eigen::Block, 2, -1, true>; Scalar = double]’ 169 | this->col(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 2, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 2, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 2, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 2, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 2, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 2, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 2, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 2, 1, false>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 2, 1, false>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:769:22: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 2, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 2, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 2, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 2, false>, Eigen::Block, -1, 1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 2, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 2, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:776:59: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 1, 2, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 1, 2, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 1, 2, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, 2, false>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, 2, false>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 2, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:769:22: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false> >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, 3, 3>, 3, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, 3, 3>, 3, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, 3, 3>, 3, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >, const Eigen::Block, 3, 3>, 3, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >, const Eigen::Block, 3, 3>, 3, 1, true>, -1, 1, false>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 3, 3>, 3, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = std::complex]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >, const Eigen::Block, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >, const Eigen::Block, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = std::complex]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:320:14: required from here 320 | m = m.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:119:18: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 4, -1, true>, 4, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, 4, -1, true>, 4, 1, true>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, 4, -1, true>, 4, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 4, -1, true>, 4, 1, true>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 4, -1, true>, 4, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, 4, -1, true>, 4, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 2, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 2, 1, false>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 2, 1, false>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true>, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, 2, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, 2, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 93 | essential = tail / (c0 - beta); | ~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, 2, -1, true>; Scalar = double]’ 20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:161:11: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, 2, 1, true>, -1>; Derived = Eigen::Block, 2, -1, true>; Scalar = double]’ 161 | *this *= Scalar(1)-tau; | ~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 2, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 2, 1, true>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 2, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 2, -1, true>, 1, -1, false>; VectorY = Eigen::Block, 2, -1, true>, 1, -1, false>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, 2, -1, true>; Eigen::Index = long int]’ 299 | internal::apply_rotation_in_the_plane(x, y, j); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:417:47: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]’ 417 | m_matT.rightCols(size-iu+1).applyOnTheLeft(iu-1, iu, rot.adjoint()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 2, -1, true>, 1, -1, false>; VectorY = Eigen::Block, 2, -1, true>, 1, -1, false>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, 2, -1, true>; Eigen::Index = long int]’ 299 | internal::apply_rotation_in_the_plane(x, y, j); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:417:47: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]’ 417 | m_matT.rightCols(size-iu+1).applyOnTheLeft(iu-1, iu, rot.adjoint()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 2, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, 2, false>, -1, 1, true> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, -1, 2, false>, -1, 1, true>; VectorY = Eigen::Block, -1, 2, false>, -1, 1, true>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, -1, 2, false>; Eigen::Index = long int]’ 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:418:41: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]’ 418 | m_matT.topRows(iu+1).applyOnTheRight(iu-1, iu, rot); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 2, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, -1, 2, false>, -1, 1, true>; VectorY = Eigen::Block, -1, 2, false>, -1, 1, true>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, -1, 2, false>; Eigen::Index = long int]’ 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:418:41: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]’ 418 | m_matT.topRows(iu+1).applyOnTheRight(iu-1, iu, rot); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2, -1, true>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator >, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, std::complex >’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, const Eigen::Block, 2, 1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 2>, 2, 1, true>; SrcXprType = Eigen::CwiseUnaryOp >, const Eigen::Block, 2, 1, true> >; Functor = assign_op, std::complex >]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 2>, 2, 1, true>; SrcXprType = Eigen::CwiseUnaryOp >, const Eigen::Block, 2, 1, true> >; Functor = Eigen::internal::assign_op, std::complex >; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, -1, -1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, -1, -1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false> >]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:348:14: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 4, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, 4, false>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 4, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 4, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 4, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 4, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 4, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 4, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 4, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 4, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 4, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 4, false>, 1, -1, false> >, const Eigen::Block, 4, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 3, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 3, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 3, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 3, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 3, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 3, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 3, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> >]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 4, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> >]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 203 | pack_lhs(blockA, LhsMapper(triangularBuffer.data(), triangularBuffer.outerStride()), actualPanelWidth, actualPanelWidth); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; Scalar = double]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, 4, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, 4, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 78 | RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 527 | typedef typename internal::nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 3, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 3, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 3, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Block, 3, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 3, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:769:22: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 4, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 4, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 4, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 4, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 4, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 4, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 4, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 4, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 4, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 4, false>, Eigen::Block, -1, 1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 4, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 4, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:776:59: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2, 1, true>, -1, 1, false>, Eigen::Block, 1, 2, false>, 1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 4, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 4, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 4, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 4, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 4, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 4, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:360:40: required from ‘void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 360 | matrix_exp_computeUV::run(arg, U, V, squarings); // Pade approximant is (U+V) / (-U+V) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > > >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > > >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > > >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > > >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > > >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > > >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:320:14: required from here 320 | m = m.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 4, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 4, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 4, -1, true>, 4, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 4, -1, true>, 4, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator, 4, -1, true>, 4, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, 4, -1, true>, 4, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, 4, -1, true>, 4, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, 4, -1, true>, 4, -1, false>, Eigen::Block, 4, 1, true>, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 2, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, 2, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 527 | typedef typename internal::nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, 2, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>, 4, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 182 | return coeff(index); | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 2, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:370:74: required from ‘typename MatrixType::Scalar Eigen::RealSchur<_MatrixType>::computeNormOfT() [with _MatrixType = Eigen::Matrix; typename MatrixType::Scalar = double]’ 370 | norm += m_matT.col(j).segment(0, (std::min)(size,j+2)).cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:309:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 309 | Scalar norm = computeNormOfT(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 4, 1, true>, -1, 1, false>, Eigen::Block, 1, 4, false>, 1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:386:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 4, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:386:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 229 | m_qr.compute(m_adjoint); | ~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ 194 | ::run(rhs.transpose(),lhs.transpose(), dstT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 2, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 5; bool Conjugate = false]’ 125 | Map >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 3, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 3, 1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 3, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 3, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 3, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 341 | dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, -1, true>, 2, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, 2, -1, true>, 2, 1, true>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, 2, -1, true>, 2, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 2, -1, true>, 2, 1, true>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 2, -1, true>, 2, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, 2, -1, true>, 2, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 2, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 2, 1, false>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 2, 1, false>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Matrix; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Matrix; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, 2, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 851 | call_assignment_no_alias(dst, tmp, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, -1, 2, false>, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:776:29: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 3, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 3, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 3, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 3, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1>, 4, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 527 | typedef typename internal::nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 4, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 4, 1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 4, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 4, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 4, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:360:40: required from ‘void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix; ResultType = Eigen::Matrix]’ 360 | matrix_exp_computeUV::run(arg, U, V, squarings); // Pade approximant is (U+V) / (-U+V) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1>, 4, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 527 | typedef typename internal::nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > > >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > > >, -1, 1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > > >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > > >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > > >, -1, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> > > >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > > >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > > >, -1, 1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > > >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > > >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > > >, -1, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp >, const Eigen::CwiseBinaryOp, std::complex >, const Eigen::Matrix, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 4, 4> > > >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:320:14: required from here 320 | m = m.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 315 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 604 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26: required from ‘static typename Eigen::internal::traits::Scalar Eigen::internal::determinant_impl::run(const Derived&) [with Derived = Eigen::Matrix; int DeterminantType = -1; typename Eigen::internal::traits::Scalar = double]’ 34 | return m.partialPivLu().determinant(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::determinant() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 112 | return internal::determinant_impl::type>::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:216:33: required from ‘T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long unsigned int]’ 216 | res = eigenRes.determinant(); | ~~~~~~~~~~~~~~~~~~~~^~ reg-lib/cpu/_reg_maths_eigen.cpp:220:70: required from here 220 | template float reg_matrix2DDet(float** mat, size_t m, size_t n); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true>, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true>, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 4, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 4, 1, true>, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 4, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose, 4, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 4, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, -1, 1, false> >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, -1, 1, false> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 2, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 2, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 2, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 2, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 2, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 2, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 2, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 2, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 2, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 2, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, 2, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 2, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 2, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 2, -1, false>, 2, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, -1, false>, 2, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, 2, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, 1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, -1, false>, 1, -1, false>; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, 1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, 2, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, 2, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 78 | RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 527 | typedef typename internal::nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 3, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 3, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 3, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Block, 3, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 3, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, false>, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, false>, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 1, false>, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 2, 1, false>, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 2, 1, false>, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, false>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, false>, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, false>, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 1, false>, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 2, 1, false>, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 2, 1, false>, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 2, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 2, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, 2, false> >, 1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false> >, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false> >, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false> >, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false> >, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 2, false> >, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 2, false> >, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 2, false> >, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 3, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 4, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 4, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 4, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 4, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 2, false>, 1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 2, false>, 1, 2, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 2, false>, 1, 2, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>, -1, 2, false>; Rhs = Eigen::Matrix; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>, -1, 2, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:22: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, false>, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>, -1, 1, false>; Rhs = Eigen::Matrix; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>, -1, 1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, -1, true>, 2, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 2, -1, true>, 2, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, 2, -1, true>, 2, -1, false>, Eigen::Block, 2, 1, true>, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 2, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, 2, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 527 | typedef typename internal::nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, 2, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>, 4, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Matrix; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Matrix; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, 4, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 851 | call_assignment_no_alias(dst, tmp, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, -1, 4, false>, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:776:29: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 2, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 2, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 2, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 2, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 2, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 2, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 3, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 3, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 3, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 3, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 3, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 4, 1, true>, -1, 1, false> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 4, 1, true>, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 4, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 4, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 2, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 2, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 2, -1, false>, 2, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ 194 | ::run(rhs.transpose(),lhs.transpose(), dstT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 2, false>, Eigen::Block, -1, 1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 2, false>, Eigen::Block, -1, 1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false>, Eigen::Block, -1, 1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 2, false>, Eigen::Block, -1, 1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 2, false>, Eigen::Block, -1, 1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 2, false>, Eigen::Block, -1, 1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 236 | m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:56:38: required from ‘void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long unsigned int]’ 56 | Eigen::JacobiSVD svd(m, Eigen::ComputeThinU | Eigen::ComputeThinV); | ^~~ reg-lib/cpu/_reg_maths_eigen.cpp:73:78: required from here 73 | template void svd(float **in, size_t m, size_t n, float * w, float **v); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ 660 | m_functor.assignCoeff(m_dst.coeffRef(index), m_src.coeff(index)); | ~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 341 | dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, -1, 1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true>, -1, 1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false>, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 2, 1, true>, -1, 1, false>, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1, -1, false>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1, -1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false>, 1, -1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false>, 1, -1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 1, -1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 2, false>, 1, -1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 2, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 1, 2, false>, 1, -1, false>; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, 2, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 1, 2, false>, 1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 4, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 4, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 4, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 4, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 4, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 4, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 4, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 4, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 4, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 4, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 4, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 4, false> >, const Eigen::Block >, 4, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 4, false> >, const Eigen::Block >, 4, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 4, false> >, const Eigen::Block >, 4, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 4, false> >, const Eigen::Block >, 4, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 4, false> >, const Eigen::Block >, 4, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose, 4, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 4, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator, 4, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ 660 | m_functor.assignCoeff(m_dst.coeffRef(index), m_src.coeff(index)); | ~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true>, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 2, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose, 2, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 2, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, -1, 1, false> >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, -1, 1, false> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 2, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 2, -1, false>, 2, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, -1, false>, 2, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, 2, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, -1, false>, 1, -1, false>; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, 1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true>, -1, 1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true>, -1, 1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 4, 1, true>, -1, 1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 4, 1, true>, -1, 1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, -1, 1, false>, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true>, -1, 1, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true>, -1, 1, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 4, 1, true>, -1, 1, false>, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 1, -1, false>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 1, -1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 4, false>, 1, -1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 4, false>, 1, -1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 4, false>, 1, -1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 4, false>, 1, -1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 4, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 1, 4, false>, 1, -1, false>; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, 4, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 1, 4, false>, 1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 4, false>, Eigen::Block, -1, 1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 4, false>, Eigen::Block, -1, 1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 4, false>, Eigen::Block, -1, 1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 4, false>, Eigen::Block, -1, 1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 4, false>, Eigen::Block, -1, 1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 4, false>, Eigen::Block, -1, 1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 2, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 2, 1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 2, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 2, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 2, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 2, false>, 1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 2, false>, 1, 2, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 2, false>, 1, 2, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>, -1, 2, false>; Rhs = Eigen::Matrix; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>, -1, 2, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:22: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, false>, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>, -1, 1, false>; Rhs = Eigen::Matrix; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>, -1, 1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 2, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false>, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false>, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false>, 1, -1, false>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 2, false>, 1, -1, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 2, false>, 1, -1, false>, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 2, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 2, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator, -1, 2, false>, Eigen::Block, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, 2, false>, Eigen::Block, -1, 1, false>, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, -1, 2, false>, Eigen::Block, -1, 1, false>, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, -1, 2, false>, Eigen::Block, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 4, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 4, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 4, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 4, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 4, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 4, false> >, const Eigen::Block >, 4, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 4, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 4, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 4, false> >, const Eigen::Block >, 4, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 4, false> >, const Eigen::Block >, 4, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 4, false> >, const Eigen::Block >, 4, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 4, false> >, const Eigen::Block >, 4, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 3, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::Block, 1, 3, false>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::Block, 1, 3, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::Block, 1, 3, false>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::Block, 1, 3, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, 3, false>; Derived = Eigen::Block, 1, 3, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:256:24: required from here 256 | tensor = tensor.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35: required from ‘void Eigen::MatrixExponentialReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 414 | internal::matrix_exp_compute(tmp, result, internal::is_exp_known_type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixExponentialReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixExponentialReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:273:14: required from here 273 | m = m.exp(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits, std::complex, false, false, 1, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 64 | SmallPanelWidth = EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr), | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; Rhs = Eigen::Matrix, -1, -1, 0, 3, 3>; int Side = 1; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix, -1, -1, 0, 3, 3>; DstType = Eigen::Matrix, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]’ 552 | this->solveInPlace(dst); | ~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:127:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 775 | Vectorizable = unpacket_traits::vectorizable | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 780 | RealPacketSize = Vectorizable ? unpacket_traits::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 790 | typedef DoublePacket DoublePacketType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 793 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 794 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 796 | typedef typename conditional::type AccPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 799 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits, std::complex, false, false, 1, 1>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, std::complex, long int, Eigen::internal::blas_data_mapper, long int, 0, 0, 1>, 1, 4, false, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 78 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; Rhs = Eigen::Matrix, -1, -1, 0, 3, 3>; int Side = 1; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 775 | Vectorizable = unpacket_traits::vectorizable | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 780 | RealPacketSize = Vectorizable ? unpacket_traits::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 790 | typedef DoublePacket DoublePacketType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 793 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 794 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 796 | typedef typename conditional::type AccPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 799 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits, std::complex, false, false, 1, 2>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, std::complex, long int, Eigen::internal::blas_data_mapper, long int, 0, 0, 1>, 1, 4, false, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 78 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; Rhs = Eigen::Matrix, -1, -1, 0, 3, 3>; int Side = 1; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 775 | Vectorizable = unpacket_traits::vectorizable | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 780 | RealPacketSize = Vectorizable ? unpacket_traits::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 790 | typedef DoublePacket DoublePacketType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 793 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 794 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 796 | typedef typename conditional::type AccPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 799 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 2, -1, false>, 2, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 4, 1, true>, -1, 1, false>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 4, 1, true>, -1, 1, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 4, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 4, 1, true>, -1, 1, false>, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 4, 1, true>, -1, 1, false>, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 4, false>, 1, -1, false>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 4, false>, 1, -1, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 4, false>, 1, -1, false>, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = std::complex]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 164 | gebp_kernel(other.getSubMapper(startTarget,j2), blockA, blockB+actual_kc*j2, lengthTarget, actualPanelWidth, actual_cols, Scalar(-1), | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 165 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; Rhs = Eigen::Matrix, -1, -1, 0, 3, 3>; int Side = 1; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix, -1, -1, 0, 3, 3>; DstType = Eigen::Matrix, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]’ 552 | this->solveInPlace(dst); | ~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:127:28: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::unpacket_traits >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: required from ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = std::complex]’ 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 164 | gebp_kernel(other.getSubMapper(startTarget,j2), blockA, blockB+actual_kc*j2, lengthTarget, actualPanelWidth, actual_cols, Scalar(-1), | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 165 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; Rhs = Eigen::Matrix, -1, -1, 0, 3, 3>; int Side = 1; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:746:64: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 746 | typedef DoublePacket::half> half; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ 660 | m_functor.assignCoeff(m_dst.coeffRef(index), m_src.coeff(index)); | ~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 4, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 4, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator, -1, 4, false>, Eigen::Block, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, 4, false>, Eigen::Block, -1, 1, false>, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, -1, 4, false>, Eigen::Block, -1, 1, false>, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, -1, 4, false>, Eigen::Block, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0; LhsScalar = std::complex; LhsPacket = __vector(2) double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1525:13: required from ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = std::complex]’ 1501 | traits.loadLhs(&blA[(0 + 3 * K) * LhsProgress], A0); \ | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 164 | gebp_kernel(other.getSubMapper(startTarget,j2), blockA, blockB+actual_kc*j2, lengthTarget, actualPanelWidth, actual_cols, Scalar(-1), | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 165 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; Rhs = Eigen::Matrix, -1, -1, 0, 3, 3>; int Side = 1; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 858 | dest = pload((const typename unpacket_traits::type*)(a)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose, 2, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 2, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator, 2, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ 660 | m_functor.assignCoeff(m_dst.coeffRef(index), m_src.coeff(index)); | ~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block >, 1, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block >, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 1, 2, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 1, 2, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 2, false>, 1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false>, 1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 2, false>, 1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 2, false>, 1, 2, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 1, 2, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 1, 2, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 2, false>, 1, 2, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false>, 1, 2, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 2, false>, 1, 2, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 2, false>, 1, 2, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 2, false>, 1, 2, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 2, false>, 1, 2, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 2, false>, 1, 2, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 2, false>, 1, 2, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 2, false>, 1, 2, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block, -1, 2, false>; Rhs = Eigen::Block, -1, 1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, 2, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 1; LhsScalar = std::complex; LhsPacket = __vector(2) double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1198:19: required from ‘void Eigen::internal::lhs_process_one_packet::peeled_kc_onestep(Eigen::Index, const LhsScalar*, const RhsScalar*, GEBPTraits, LhsPacket*, RhsPacketx4*, RhsPacket*, AccPacket*, AccPacket*, AccPacket*, AccPacket*) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, false, false, 1, 1>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int; RhsPacketx4 = Eigen::internal::QuadPacket >]’ 1198 | traits.loadLhs(&blA[(0+1*K)*LhsProgress], *A0); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1269:11: required from ‘void Eigen::internal::lhs_process_one_packet::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, ResScalar, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, int, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, false, false, 1, 1>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int]’ 1269 | peeled_kc_onestep(0, blA, blB, traits, &A0, &rhs_panel, &T0, &C0, &C1, &C2, &C3); | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1896:8: required from ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = std::complex]’ 1896 | p(res, blockA, blockB, alpha, peeled_mc1, peeled_mc_half, strideA, strideB, offsetA, offsetB, prefetch_res_offset, peeled_kc, pk, cols, depth, packet_cols4); | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 164 | gebp_kernel(other.getSubMapper(startTarget,j2), blockA, blockB+actual_kc*j2, lengthTarget, actualPanelWidth, actual_cols, Scalar(-1), | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 165 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; Rhs = Eigen::Matrix, -1, -1, 0, 3, 3>; int Side = 1; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 858 | dest = pload((const typename unpacket_traits::type*)(a)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 2; LhsScalar = std::complex; LhsPacket = __vector(2) double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1198:19: required from ‘void Eigen::internal::lhs_process_one_packet::peeled_kc_onestep(Eigen::Index, const LhsScalar*, const RhsScalar*, GEBPTraits, LhsPacket*, RhsPacketx4*, RhsPacket*, AccPacket*, AccPacket*, AccPacket*, AccPacket*) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, false, false, 1, 2>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int; RhsPacketx4 = Eigen::internal::QuadPacket >]’ 1198 | traits.loadLhs(&blA[(0+1*K)*LhsProgress], *A0); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1269:11: required from ‘void Eigen::internal::lhs_process_one_packet::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, ResScalar, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, int, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, false, false, 1, 2>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int]’ 1269 | peeled_kc_onestep(0, blA, blB, traits, &A0, &rhs_panel, &T0, &C0, &C1, &C2, &C3); | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1902:8: required from ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = std::complex]’ 1902 | p(res, blockA, blockB, alpha, peeled_mc_half, peeled_mc_quarter, strideA, strideB, offsetA, offsetB, prefetch_res_offset, peeled_kc, pk, cols, depth, packet_cols4); | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 164 | gebp_kernel(other.getSubMapper(startTarget,j2), blockA, blockB+actual_kc*j2, lengthTarget, actualPanelWidth, actual_cols, Scalar(-1), | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 165 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::CwiseBinaryOp, std::complex >, const Eigen::CwiseNullaryOp >, Eigen::Matrix, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, -1, -1, 0, 3, 3> > >; Rhs = Eigen::Matrix, -1, -1, 0, 3, 3>; int Side = 1; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 858 | dest = pload((const typename unpacket_traits::type*)(a)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits, std::complex, true, false, 1, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1063:38: required from ‘struct Eigen::internal::gebp_kernel, std::complex, long int, Eigen::internal::blas_data_mapper, long int, 0, 0, 1>, 1, 4, true, false>’ 1063 | typedef typename Traits::ResScalar ResScalar; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 157 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1, 0, 3, 3>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1, 0, 3, 3>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; int ProductTag = 3; Scalar = std::complex]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix, -1, -1, 0, 3, 3>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >, 6>, Eigen::Block, 3, 3>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 3>; Scalar = std::complex]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 775 | Vectorizable = unpacket_traits::vectorizable | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 780 | RealPacketSize = Vectorizable ? unpacket_traits::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 790 | typedef DoublePacket DoublePacketType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 793 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 794 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 796 | typedef typename conditional::type AccPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 799 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits, std::complex, false, true, 1, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1074:45: required from ‘struct Eigen::internal::gebp_kernel, std::complex, long int, Eigen::internal::blas_data_mapper, long int, 0, 0, 1>, 1, 4, true, false>’ 1074 | typedef typename SwappedTraits::ResScalar SResScalar; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 157 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1, 0, 3, 3>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1, 0, 3, 3>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; int ProductTag = 3; Scalar = std::complex]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix, -1, -1, 0, 3, 3>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >, 6>, Eigen::Block, 3, 3>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 3>; Scalar = std::complex]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 775 | Vectorizable = unpacket_traits::vectorizable | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 780 | RealPacketSize = Vectorizable ? unpacket_traits::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 790 | typedef DoublePacket DoublePacketType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 793 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 794 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 796 | typedef typename conditional::type AccPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 799 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits, std::complex, true, false, 1, 1>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, std::complex, long int, Eigen::internal::blas_data_mapper, long int, 0, 0, 1>, 1, 4, true, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 157 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1, 0, 3, 3>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1, 0, 3, 3>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; int ProductTag = 3; Scalar = std::complex]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix, -1, -1, 0, 3, 3>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >, 6>, Eigen::Block, 3, 3>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 3>; Scalar = std::complex]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 775 | Vectorizable = unpacket_traits::vectorizable | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 780 | RealPacketSize = Vectorizable ? unpacket_traits::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 790 | typedef DoublePacket DoublePacketType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 793 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 794 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 796 | typedef typename conditional::type AccPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 799 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits, std::complex, true, false, 1, 2>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, std::complex, long int, Eigen::internal::blas_data_mapper, long int, 0, 0, 1>, 1, 4, true, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 157 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1, 0, 3, 3>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1, 0, 3, 3>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; int ProductTag = 3; Scalar = std::complex]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix, -1, -1, 0, 3, 3>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >, 6>, Eigen::Block, 3, 3>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 3>; Scalar = std::complex]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 775 | Vectorizable = unpacket_traits::vectorizable | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 780 | RealPacketSize = Vectorizable ? unpacket_traits::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 790 | typedef DoublePacket DoublePacketType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 793 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 794 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 796 | typedef typename conditional::type AccPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 799 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 4, false>, 1, 4, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 4, false>, 1, 4, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 4, false>, 1, 4, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 4, false>, 1, 4, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 4, false>, 1, 4, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 4, false>, 1, 4, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 4, false>, 1, 4, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 4, false>, 1, 4, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 4, false>, 1, 4, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 4, false>, 1, 4, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 4, false>, 1, 4, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 4, false>, 1, 4, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 4, false>, 1, 4, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 4, false>, 1, 4, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 4, false>, 1, 4, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 4, false>, 1, 4, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 4, false>, 1, 4, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block, -1, 4, false>; Rhs = Eigen::Block, -1, 1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, 4, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 2, false>, 1, 2, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 2, false>, 1, 2, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 2, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 2, false>, 1, 2, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 2, false>, 1, 2, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 2, false>, 1, 2, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 2, false>, 1, 2, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 2, false>, 1, 2, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 2, false>, 1, 2, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 2, false>, 1, 2, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = true; bool ConjugateRhs = false; ResScalar = std::complex]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 206 | actualPanelWidth, actualPanelWidth, cols, alpha, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1, 0, 3, 3>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1, 0, 3, 3>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; int ProductTag = 3; Scalar = std::complex]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix, -1, -1, 0, 3, 3>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >, 6>, Eigen::Block, 3, 3>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 3>; Scalar = std::complex]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix, -1, -1, 0, 3, 3>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >, 6>, Eigen::Block, 3, 3>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 3>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits, std::complex, false, true, 1, 1>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, std::complex, long int, Eigen::internal::blas_data_mapper, long int, 0, 0, 1>, 1, 4, false, true>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]’ 157 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, 3, 3>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix, 3, 3>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3> > >; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, 3, 3>; Lhs = Eigen::TriangularView, 3, 3>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3> > >; int ProductTag = 3; Scalar = std::complex]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix, 3, 3>; Lhs = Eigen::TriangularView, 3, 3>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3> > >; Derived = Eigen::internal::generic_product_impl, 3, 3>, 2>, Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3> > >, Eigen::TriangularShape, Eigen::DenseShape, 3>; Scalar = std::complex]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 775 | Vectorizable = unpacket_traits::vectorizable | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 780 | RealPacketSize = Vectorizable ? unpacket_traits::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 790 | typedef DoublePacket DoublePacketType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 793 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 794 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 796 | typedef typename conditional::type AccPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 799 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits, std::complex, false, true, 1, 2>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, std::complex, long int, Eigen::internal::blas_data_mapper, long int, 0, 0, 1>, 1, 4, false, true>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]’ 157 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, 3, 3>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix, 3, 3>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3> > >; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, 3, 3>; Lhs = Eigen::TriangularView, 3, 3>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3> > >; int ProductTag = 3; Scalar = std::complex]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix, 3, 3>; Lhs = Eigen::TriangularView, 3, 3>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3> > >; Derived = Eigen::internal::generic_product_impl, 3, 3>, 2>, Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3> > >, Eigen::TriangularShape, Eigen::DenseShape, 3>; Scalar = std::complex]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 769 | PACKET_DECL_COND(Real, _PacketSize); | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro ‘PACKET_DECL_COND’ 391 | name ## Packet | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 775 | Vectorizable = unpacket_traits::vectorizable | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 780 | RealPacketSize = Vectorizable ? unpacket_traits::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 790 | typedef DoublePacket DoublePacketType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 793 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 794 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 796 | typedef typename conditional::type AccPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 799 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = true; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0; LhsScalar = std::complex; LhsPacket = __vector(2) double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1525:13: required from ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = true; bool ConjugateRhs = false; ResScalar = std::complex]’ 1501 | traits.loadLhs(&blA[(0 + 3 * K) * LhsProgress], A0); \ | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 206 | actualPanelWidth, actualPanelWidth, cols, alpha, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1, 0, 3, 3>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, -1, -1, 0, 3, 3>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; int ProductTag = 3; Scalar = std::complex]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix, -1, -1, 0, 3, 3>; Lhs = Eigen::TriangularView >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >, 6>; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >, 6>, Eigen::Block, 3, 3>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 3>; Scalar = std::complex]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 858 | dest = pload((const typename unpacket_traits::type*)(a)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = true; ResScalar = std::complex]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]’ 205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 206 | actualPanelWidth, actualPanelWidth, cols, alpha, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, 3, 3>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix, 3, 3>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3> > >; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, 3, 3>; Lhs = Eigen::TriangularView, 3, 3>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3> > >; int ProductTag = 3; Scalar = std::complex]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix, 3, 3>; Lhs = Eigen::TriangularView, 3, 3>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3> > >; Derived = Eigen::internal::generic_product_impl, 3, 3>, 2>, Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3> > >, Eigen::TriangularShape, Eigen::DenseShape, 3>; Scalar = std::complex]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix, 3, 3>; Lhs = Eigen::TriangularView, 3, 3>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3> > >; Derived = Eigen::internal::generic_product_impl, 3, 3>, 2>, Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3> > >, Eigen::TriangularShape, Eigen::DenseShape, 3>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 4, false>, 1, 4, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 4, false>, 1, 4, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 4, false>, 1, 4, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 4, false>, 1, 4, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 4, false>, 1, 4, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 4, false>, 1, 4, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 4, false>, 1, 4, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 4, false>, 1, 4, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 4, false>, 1, 4, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 4, false>, 1, 4, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63: required from ‘void Eigen::MatrixSquareRootReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 341 | internal::matrix_sqrt_compute::run(tmp, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixSquareRootReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:234:15: required from here 234 | m = m.sqrt(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = true; int Arch = 1; int _PacketSize = 0; LhsScalar = std::complex; LhsPacket = __vector(2) double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1525:13: required from ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = true; ResScalar = std::complex]’ 1501 | traits.loadLhs(&blA[(0 + 3 * K) * LhsProgress], A0); \ | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]’ 205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 206 | actualPanelWidth, actualPanelWidth, cols, alpha, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, 3, 3>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix, 3, 3>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3> > >; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix, 3, 3>; Lhs = Eigen::TriangularView, 3, 3>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3> > >; int ProductTag = 3; Scalar = std::complex]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix, 3, 3>; Lhs = Eigen::TriangularView, 3, 3>, 2>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3> > >; Derived = Eigen::internal::generic_product_impl, 3, 3>, 2>, Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3> > >, Eigen::TriangularShape, Eigen::DenseShape, 3>; Scalar = std::complex]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 858 | dest = pload((const typename unpacket_traits::type*)(a)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = true; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 1; LhsScalar = std::complex; LhsPacket = __vector(2) double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1198:19: required from ‘void Eigen::internal::lhs_process_one_packet::peeled_kc_onestep(Eigen::Index, const LhsScalar*, const RhsScalar*, GEBPTraits, LhsPacket*, RhsPacketx4*, RhsPacket*, AccPacket*, AccPacket*, AccPacket*, AccPacket*) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, true, false, 1, 1>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int; RhsPacketx4 = Eigen::internal::QuadPacket >]’ 1198 | traits.loadLhs(&blA[(0+1*K)*LhsProgress], *A0); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1269:11: required from ‘void Eigen::internal::lhs_process_one_packet::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, ResScalar, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, int, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, true, false, 1, 1>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int]’ 1269 | peeled_kc_onestep(0, blA, blB, traits, &A0, &rhs_panel, &T0, &C0, &C1, &C2, &C3); | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1896:8: required from ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = true; bool ConjugateRhs = false; ResScalar = std::complex]’ 1896 | p(res, blockA, blockB, alpha, peeled_mc1, peeled_mc_half, strideA, strideB, offsetA, offsetB, prefetch_res_offset, peeled_kc, pk, cols, depth, packet_cols4); | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 206 | actualPanelWidth, actualPanelWidth, cols, alpha, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1, 0, 3, 3>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 858 | dest = pload((const typename unpacket_traits::type*)(a)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = true; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 2; LhsScalar = std::complex; LhsPacket = __vector(2) double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1198:19: required from ‘void Eigen::internal::lhs_process_one_packet::peeled_kc_onestep(Eigen::Index, const LhsScalar*, const RhsScalar*, GEBPTraits, LhsPacket*, RhsPacketx4*, RhsPacket*, AccPacket*, AccPacket*, AccPacket*, AccPacket*) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, true, false, 1, 2>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int; RhsPacketx4 = Eigen::internal::QuadPacket >]’ 1198 | traits.loadLhs(&blA[(0+1*K)*LhsProgress], *A0); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1269:11: required from ‘void Eigen::internal::lhs_process_one_packet::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, ResScalar, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, int, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, true, false, 1, 2>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int]’ 1269 | peeled_kc_onestep(0, blA, blB, traits, &A0, &rhs_panel, &T0, &C0, &C1, &C2, &C3); | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1902:8: required from ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = true; bool ConjugateRhs = false; ResScalar = std::complex]’ 1902 | p(res, blockA, blockB, alpha, peeled_mc_half, peeled_mc_quarter, strideA, strideB, offsetA, offsetB, prefetch_res_offset, peeled_kc, pk, cols, depth, packet_cols4); | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 206 | actualPanelWidth, actualPanelWidth, cols, alpha, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, -1, -1, 0, 3, 3>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3>, -1, -1, false> > >; Rhs = Eigen::Block, 3, 3>, -1, -1, false>; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 858 | dest = pload((const typename unpacket_traits::type*)(a)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = true; int Arch = 1; int _PacketSize = 1; LhsScalar = std::complex; LhsPacket = __vector(2) double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1198:19: required from ‘void Eigen::internal::lhs_process_one_packet::peeled_kc_onestep(Eigen::Index, const LhsScalar*, const RhsScalar*, GEBPTraits, LhsPacket*, RhsPacketx4*, RhsPacket*, AccPacket*, AccPacket*, AccPacket*, AccPacket*) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, false, true, 1, 1>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int; RhsPacketx4 = Eigen::internal::QuadPacket >]’ 1198 | traits.loadLhs(&blA[(0+1*K)*LhsProgress], *A0); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1269:11: required from ‘void Eigen::internal::lhs_process_one_packet::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, ResScalar, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, int, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, false, true, 1, 1>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int]’ 1269 | peeled_kc_onestep(0, blA, blB, traits, &A0, &rhs_panel, &T0, &C0, &C1, &C2, &C3); | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1896:8: required from ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = true; ResScalar = std::complex]’ 1896 | p(res, blockA, blockB, alpha, peeled_mc1, peeled_mc_half, strideA, strideB, offsetA, offsetB, prefetch_res_offset, peeled_kc, pk, cols, depth, packet_cols4); | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]’ 205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 206 | actualPanelWidth, actualPanelWidth, cols, alpha, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, 3, 3>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix, 3, 3>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3> > >; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 858 | dest = pload((const typename unpacket_traits::type*)(a)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_traits, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = true; int Arch = 1; int _PacketSize = 2; LhsScalar = std::complex; LhsPacket = __vector(2) double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1198:19: required from ‘void Eigen::internal::lhs_process_one_packet::peeled_kc_onestep(Eigen::Index, const LhsScalar*, const RhsScalar*, GEBPTraits, LhsPacket*, RhsPacketx4*, RhsPacket*, AccPacket*, AccPacket*, AccPacket*, AccPacket*) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, false, true, 1, 2>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int; RhsPacketx4 = Eigen::internal::QuadPacket >]’ 1198 | traits.loadLhs(&blA[(0+1*K)*LhsProgress], *A0); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1269:11: required from ‘void Eigen::internal::lhs_process_one_packet::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, ResScalar, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, int, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with int nr = 4; long int LhsProgress = 1; long int RhsProgress = 1; LhsScalar = std::complex; RhsScalar = std::complex; ResScalar = std::complex; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits, std::complex, false, true, 1, 2>; LinearMapper = Eigen::internal::BlasLinearMapper, long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; Eigen::Index = long int]’ 1269 | peeled_kc_onestep(0, blA, blB, traits, &A0, &rhs_panel, &T0, &C0, &C1, &C2, &C3); | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1902:8: required from ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = std::complex; RhsScalar = std::complex; Index = long int; DataMapper = Eigen::internal::blas_data_mapper, long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = true; ResScalar = std::complex]’ 1902 | p(res, blockA, blockB, alpha, peeled_mc_half, peeled_mc_quarter, strideA, strideB, offsetA, offsetB, prefetch_res_offset, peeled_kc, pk, cols, depth, packet_cols4); | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = std::complex; Index = long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]’ 205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 206 | actualPanelWidth, actualPanelWidth, cols, alpha, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix, 3, 3>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix, 3, 3>; Rhs = Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3> > >; typename Dest::Scalar = std::complex]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87: required from ‘void Eigen::MatrixLogarithmReturnValue::evalTo(ResultType&) const [with ResultType = Eigen::Matrix; Derived = Eigen::Matrix]’ 342 | internal::matrix_function_compute::run(m_A, atomic, result); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::MatrixLogarithmReturnValue >]’ 62 | { static_cast(this)->evalTo(dst); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 84 | other.derived().evalTo(derived()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; Derived = Eigen::Matrix]’ 468 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ 245 | return Base::operator=(func); | ~~~~~~~~~~~~~~~^~~~~~ reg-lib/cpu/_reg_maths_eigen.cpp:303:24: required from here 303 | tensor = tensor.log(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 858 | dest = pload((const typename unpacket_traits::type*)(a)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:341: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized] 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const double*’ to ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0]’ declared here 105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized] 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const double*’ to ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0]’ declared here 105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized] 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const double*’ to ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0]’ declared here 105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, 4, 4>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, std::complex >, const Eigen::CwiseNullaryOp >, const Eigen::Matrix, 1, -1, 1, 1, 4> >, const Eigen::CwiseUnaryOp >, const Eigen::Transpose, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >; Dest = Eigen::Transpose, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized] 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const std::complex*’ to ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = std::complex; bool ConjLhs = false; RhsScalar = std::complex; bool ConjRhs = true; int Version = 0]’ declared here 105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, 3, 3>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, std::complex >, const Eigen::CwiseNullaryOp >, const Eigen::Matrix, 1, -1, 1, 1, 3> >, const Eigen::CwiseUnaryOp >, const Eigen::Transpose, 3, 3>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >; Dest = Eigen::Transpose, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized] 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const std::complex*’ to ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = std::complex; bool ConjLhs = false; RhsScalar = std::complex; bool ConjRhs = true; int Version = 0]’ declared here 105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/cpu/_reg_nmi.cpp -o reg-lib/cpu/_reg_nmi.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_tools.h:19, from reg-lib/cpu/_reg_measure.h:11, from reg-lib/cpu/_reg_nmi.h:15, from reg-lib/cpu/_reg_nmi.cpp:15: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/cpu/_reg_optimiser.cpp -o reg-lib/cpu/_reg_optimiser.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_optimiser.h:9, from reg-lib/cpu/_reg_optimiser.cpp:9: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/cpu/_reg_resampling.cpp -o reg-lib/cpu/_reg_resampling.o reg-lib/cpu/_reg_resampling.cpp:1420:1: warning: multi-line comment [-Wcomment] 1420 | //#pragma omp parallel for default(none) \ | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_resampling.cpp:16: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ reg-lib/cpu/_reg_resampling.cpp: In function ‘void reg_dti_resampling_postprocessing(nifti_image*, int*, mat33*, int*, nifti_image*) [with DTYPE = unsigned char]’: reg-lib/cpu/_reg_resampling.cpp:231:23: warning: ‘warpedXX’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:33: warning: ‘warpedXY’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:43: warning: ‘warpedXZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:53: warning: ‘warpedYY’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:63: warning: ‘warpedYZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:73: warning: ‘warpedZZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp: In function ‘void reg_dti_resampling_postprocessing(nifti_image*, int*, mat33*, int*, nifti_image*) [with DTYPE = char]’: reg-lib/cpu/_reg_resampling.cpp:231:23: warning: ‘warpedXX’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:33: warning: ‘warpedXY’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:43: warning: ‘warpedXZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:53: warning: ‘warpedYY’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:63: warning: ‘warpedYZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:73: warning: ‘warpedZZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp: In function ‘void reg_dti_resampling_postprocessing(nifti_image*, int*, mat33*, int*, nifti_image*) [with DTYPE = short unsigned int]’: reg-lib/cpu/_reg_resampling.cpp:231:23: warning: ‘warpedXX’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:33: warning: ‘warpedXY’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:43: warning: ‘warpedXZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:53: warning: ‘warpedYY’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:63: warning: ‘warpedYZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:73: warning: ‘warpedZZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp: In function ‘void reg_dti_resampling_postprocessing(nifti_image*, int*, mat33*, int*, nifti_image*) [with DTYPE = short int]’: reg-lib/cpu/_reg_resampling.cpp:231:23: warning: ‘warpedXX’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:33: warning: ‘warpedXY’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:43: warning: ‘warpedXZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:53: warning: ‘warpedYY’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:63: warning: ‘warpedYZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:73: warning: ‘warpedZZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp: In function ‘void reg_dti_resampling_postprocessing(nifti_image*, int*, mat33*, int*, nifti_image*) [with DTYPE = unsigned int]’: reg-lib/cpu/_reg_resampling.cpp:231:23: warning: ‘warpedXX’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:33: warning: ‘warpedXY’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:43: warning: ‘warpedXZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:53: warning: ‘warpedYY’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:63: warning: ‘warpedYZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:73: warning: ‘warpedZZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp: In function ‘void reg_dti_resampling_postprocessing(nifti_image*, int*, mat33*, int*, nifti_image*) [with DTYPE = int]’: reg-lib/cpu/_reg_resampling.cpp:231:23: warning: ‘warpedXX’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:33: warning: ‘warpedXY’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:43: warning: ‘warpedXZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:53: warning: ‘warpedYY’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:63: warning: ‘warpedYZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:73: warning: ‘warpedZZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp: In function ‘void reg_dti_resampling_postprocessing(nifti_image*, int*, mat33*, int*, nifti_image*) [with DTYPE = float]’: reg-lib/cpu/_reg_resampling.cpp:231:23: warning: ‘warpedXX’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:33: warning: ‘warpedXY’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:43: warning: ‘warpedXZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:53: warning: ‘warpedYY’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:63: warning: ‘warpedYZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:73: warning: ‘warpedZZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp: In function ‘void reg_dti_resampling_postprocessing(nifti_image*, int*, mat33*, int*, nifti_image*) [with DTYPE = double]’: reg-lib/cpu/_reg_resampling.cpp:231:23: warning: ‘warpedXX’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:33: warning: ‘warpedXY’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:43: warning: ‘warpedXZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:53: warning: ‘warpedYY’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:63: warning: ‘warpedYZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ reg-lib/cpu/_reg_resampling.cpp:231:73: warning: ‘warpedZZ’ may be used uninitialized [-Wmaybe-uninitialized] 231 | DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ; | ^~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/cpu/_reg_splineBasis.cpp -o reg-lib/cpu/_reg_splineBasis.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_tools.h:19, from reg-lib/cpu/_reg_splineBasis.h:15, from reg-lib/cpu/_reg_splineBasis.cpp:15: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RNifti/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c reg-lib/cpu/_reg_tools.cpp -o reg-lib/cpu/_reg_tools.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from reg-lib/cpu/_reg_maths.h:23, from reg-lib/cpu/_reg_tools.h:19, from reg-lib/cpu/_reg_tools.cpp:17: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o RNiftyReg.so main.o helpers.o RNifti.o AffineMatrix.o DeformationField.o aladin.o f3d.o reg-lib/AladinContent.o reg-lib/Platform.o reg-lib/_reg_aladin.o reg-lib/_reg_aladin_sym.o reg-lib/_reg_base.o reg-lib/_reg_f3d.o reg-lib/_reg_f3d2.o reg-lib/_reg_f3d_sym.o reg-lib/cpu/CPUAffineDeformationFieldKernel.o reg-lib/cpu/CPUBlockMatchingKernel.o reg-lib/cpu/CPUConvolutionKernel.o reg-lib/cpu/CPUKernelFactory.o reg-lib/cpu/CPUOptimiseKernel.o reg-lib/cpu/CPUResampleImageKernel.o reg-lib/cpu/_reg_blockMatching.o reg-lib/cpu/_reg_globalTrans.o reg-lib/cpu/_reg_localTrans.o reg-lib/cpu/_reg_localTrans_jac.o reg-lib/cpu/_reg_localTrans_regul.o reg-lib/cpu/_reg_maths.o reg-lib/cpu/_reg_maths_eigen.o reg-lib/cpu/_reg_nmi.o reg-lib/cpu/_reg_optimiser.o reg-lib/cpu/_reg_resampling.o reg-lib/cpu/_reg_splineBasis.o reg-lib/cpu/_reg_tools.o -fopenmp -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpVNAp44/R.INSTALL3652287ba9ec1e/RNiftyReg/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-RNiftyReg/00new/RNiftyReg/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (RNiftyReg) * installing *source* package ‘gdalcubes’ ... ** package ‘gdalcubes’ successfully unpacked and MD5 sums checked ** using staged installation configure: CC: gcc-14 configure: CXX: g++-14 -std=gnu++11 checking for gdal-config... /usr/bin/gdal-config checking gdal-config usability... yes configure: GDAL: 3.9.2 checking GDAL version >= 2.0.1... yes checking GDAL version != 3.6.0... yes checking whether the C++ compiler works... yes checking for C++ compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether the compiler supports GNU C++... yes checking whether g++-14 -std=gnu++11 accepts -g... yes checking for g++-14 -std=gnu++11 option to enable C++11 features... none needed checking for stdio.h... yes checking for stdlib.h... yes checking for string.h... yes checking for inttypes.h... yes checking for stdint.h... yes checking for strings.h... yes checking for sys/stat.h... yes checking for sys/types.h... yes checking for unistd.h... yes checking for gdal.h... yes checking GDAL: linking with --libs only... yes checking GDAL: /usr/share/gdal/pcs.csv readable... no checking GDAL: checking whether PROJ is available for linking:... yes checking GDAL: checking whether PROJ is available fur running:... yes configure: GDAL: 3.9.2 configure: pkg-config proj exists, will use it configure: using proj.h. configure: PROJ: 9.5.0 checking PROJ: checking whether PROJ and sqlite3 are available for linking:... yes checking for nc-config... yes netcdf.m4: about to set rpath, here is source string: >-L/usr/lib/x86_64-linux-gnu -L/usr/lib/x86_64-linux-gnu/hdf5/serial -lnetcdf< netcdf.m4: final rpath: -Wl,-rpath,/usr/lib/x86_64-linux-gnu -Wl,-rpath,/usr/lib/x86_64-linux-gnu/hdf5/serial Netcdf library version: netCDF 4.9.2 Netcdf library has version 4 interface present: yes Netcdf library was compiled with C compiler: /usr/bin/cc configure: Package CPP flags: -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM configure: Package LIBS: -L/usr/lib/x86_64-linux-gnu -lgdal -lproj -Wl,-rpath,/usr/lib/x86_64-linux-gnu -Wl,-rpath,/usr/lib/x86_64-linux-gnu/hdf5/serial -L/usr/lib/x86_64-linux-gnu -L/usr/lib/x86_64-linux-gnu/hdf5/serial -lnetcdf -Wl,-O1 configure: creating ./config.status config.status: creating src/Makevars ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpSQhLiN/R.INSTALL36670f3606e19/gdalcubes/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/aggregate_time.cpp -o gdalcubes/src/aggregate_time.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/aggregate_space.cpp -o gdalcubes/src/aggregate_space.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/apply_pixel.cpp -o gdalcubes/src/apply_pixel.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/config.cpp -o gdalcubes/src/config.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/collection_format.cpp -o gdalcubes/src/collection_format.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/crop.cpp -o gdalcubes/src/crop.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/datetime.cpp -o gdalcubes/src/datetime.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/filesystem.cpp -o gdalcubes/src/filesystem.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/utils.cpp -o gdalcubes/src/utils.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/cube.cpp -o gdalcubes/src/cube.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/cube_factory.cpp -o gdalcubes/src/cube_factory.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/error.cpp -o gdalcubes/src/error.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/extract_geom.cpp -o gdalcubes/src/extract_geom.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/image_collection.cpp -o gdalcubes/src/image_collection.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/image_collection_cube.cpp -o gdalcubes/src/image_collection_cube.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/image_collection_ops.cpp -o gdalcubes/src/image_collection_ops.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/join_bands.cpp -o gdalcubes/src/join_bands.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/ncdf_cube.cpp -o gdalcubes/src/ncdf_cube.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/select_time.cpp -o gdalcubes/src/select_time.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/reduce_time.cpp -o gdalcubes/src/reduce_time.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/reduce_space.cpp -o gdalcubes/src/reduce_space.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/window_space.cpp -o gdalcubes/src/window_space.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/window_time.cpp -o gdalcubes/src/window_time.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/select_bands.cpp -o gdalcubes/src/select_bands.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/slice_time.cpp -o gdalcubes/src/slice_time.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/slice_space.cpp -o gdalcubes/src/slice_space.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/filter_pixel.cpp -o gdalcubes/src/filter_pixel.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/filter_geom.cpp -o gdalcubes/src/filter_geom.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/fill_time.cpp -o gdalcubes/src/fill_time.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/rename_bands.cpp -o gdalcubes/src/rename_bands.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/simple_cube.cpp -o gdalcubes/src/simple_cube.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/stream.cpp -o gdalcubes/src/stream.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/stream_reduce_time.cpp -o gdalcubes/src/stream_reduce_time.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/stream_reduce_space.cpp -o gdalcubes/src/stream_reduce_space.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/stream_apply_pixel.cpp -o gdalcubes/src/stream_apply_pixel.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/stream_apply_time.cpp -o gdalcubes/src/stream_apply_time.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/view.cpp -o gdalcubes/src/view.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/dummy.cpp -o gdalcubes/src/dummy.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/warp.cpp -o gdalcubes/src/warp.o gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c gdalcubes/src/external/tinyexpr/tinyexpr.c -o gdalcubes/src/external/tinyexpr/tinyexpr.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/external/tiny-process-library/process.cpp -o gdalcubes/src/external/tiny-process-library/process.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/external/tiny-process-library/process_unix.cpp -o gdalcubes/src/external/tiny-process-library/process_unix.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes/src/external/json11/json11.cpp -o gdalcubes/src/external/json11/json11.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c multiprocess.cpp -o multiprocess.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c error.cpp -o error.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gdalcubes.cpp -o gdalcubes.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/include/p11-kit-1 -DHAVE_PROJ_H -I/usr/include/gdal -I/usr/include -I/usr/include/hdf5/serial -DR_PACKAGE -DGDALCUBES_NO_SWARM -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o gdalcubes.so gdalcubes/src/aggregate_time.o gdalcubes/src/aggregate_space.o gdalcubes/src/apply_pixel.o gdalcubes/src/config.o gdalcubes/src/collection_format.o gdalcubes/src/crop.o gdalcubes/src/datetime.o gdalcubes/src/filesystem.o gdalcubes/src/utils.o gdalcubes/src/cube.o gdalcubes/src/cube_factory.o gdalcubes/src/error.o gdalcubes/src/extract_geom.o gdalcubes/src/image_collection.o gdalcubes/src/image_collection_cube.o gdalcubes/src/image_collection_ops.o gdalcubes/src/join_bands.o gdalcubes/src/ncdf_cube.o gdalcubes/src/select_time.o gdalcubes/src/reduce_time.o gdalcubes/src/reduce_space.o gdalcubes/src/window_space.o gdalcubes/src/window_time.o gdalcubes/src/select_bands.o gdalcubes/src/slice_time.o gdalcubes/src/slice_space.o gdalcubes/src/filter_pixel.o gdalcubes/src/filter_geom.o gdalcubes/src/fill_time.o gdalcubes/src/rename_bands.o gdalcubes/src/simple_cube.o gdalcubes/src/stream.o gdalcubes/src/stream_reduce_time.o gdalcubes/src/stream_reduce_space.o gdalcubes/src/stream_apply_pixel.o gdalcubes/src/stream_apply_time.o gdalcubes/src/view.o gdalcubes/src/dummy.o gdalcubes/src/warp.o gdalcubes/src/external/tinyexpr/tinyexpr.o gdalcubes/src/external/tiny-process-library/process.o gdalcubes/src/external/tiny-process-library/process_unix.o gdalcubes/src/external/json11/json11.o multiprocess.o error.o gdalcubes.o RcppExports.o -L/usr/lib/x86_64-linux-gnu -lgdal -lproj -Wl,-rpath,/usr/lib/x86_64-linux-gnu -Wl,-rpath,/usr/lib/x86_64-linux-gnu/hdf5/serial -L/usr/lib/x86_64-linux-gnu -L/usr/lib/x86_64-linux-gnu/hdf5/serial -lnetcdf -Wl,-O1 -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpSQhLiN/R.INSTALL36670f3606e19/gdalcubes/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-gdalcubes/00new/gdalcubes/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gdalcubes) * installing *source* package ‘simts’ ... ** package ‘simts’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpchG7AM/R.INSTALL367a9a1d269487/simts/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c additional_moments.cpp -o additional_moments.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c analytical_matrix_derivatives.cpp -o analytical_matrix_derivatives.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c arima_gmwm.cpp -o arima_gmwm.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c armadillo_manipulations.cpp -o armadillo_manipulations.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c automatic_models.cpp -o automatic_models.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c bootstrappers.cpp -o bootstrappers.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c complex_tools.cpp -o complex_tools.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c covariance_matrix.cpp -o covariance_matrix.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c dwt.cpp -o dwt.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gen_process.cpp -o gen_process.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gmwm_logic.cpp -o gmwm_logic.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c guess_values.cpp -o guess_values.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c idf_example.cpp -o idf_example.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c inference.cpp -o inference.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c lm.cpp -o lm.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c model_selection.cpp -o model_selection.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c obj_mod.cpp -o obj_mod.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c objective_functions.cpp -o objective_functions.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c polyroot.cpp -o polyroot.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c process_to_wv.cpp -o process_to_wv.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c read_imu.cpp -o read_imu.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c robust_components.cpp -o robust_components.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rtoarmadillo.cpp -o rtoarmadillo.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rtruncated_normal.cpp -o rtruncated_normal.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c sampler.cpp -o sampler.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c sarma.cpp -o sarma.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c summary_inf_mod.cpp -o summary_inf_mod.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c transform_data.cpp -o transform_data.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c ts_checks.cpp -o ts_checks.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c ts_model_cpp.cpp -o ts_model_cpp.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c wave_variance.cpp -o wave_variance.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c wv_filters.cpp -o wv_filters.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o simts.so RcppExports.o additional_moments.o analytical_matrix_derivatives.o arima_gmwm.o armadillo_manipulations.o automatic_models.o bootstrappers.o complex_tools.o covariance_matrix.o dwt.o gen_process.o gmwm_logic.o guess_values.o idf_example.o inference.o lm.o model_selection.o obj_mod.o objective_functions.o polyroot.o process_to_wv.o read_imu.o robust_components.o rtoarmadillo.o rtruncated_normal.o sampler.o sarma.o summary_inf_mod.o transform_data.o ts_checks.o ts_model_cpp.o wave_variance.o wv_filters.o -llapack -L/home/hornik/tmp/R-d-gcc-14/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpchG7AM/R.INSTALL367a9a1d269487/simts/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-simts/00new/simts/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (simts) begin installing package ‘wv’ * installing *source* package ‘wv’ ... ** package ‘wv’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpdnmLAX/R.INSTALL36a71bfde945a/wv/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c armadillo_manipulations.cpp -o armadillo_manipulations.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c dwt.cpp -o dwt.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c process_to_wv.cpp -o process_to_wv.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c robust_components.cpp -o robust_components.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rtoarmadillo.cpp -o rtoarmadillo.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c sarma.cpp -o sarma.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c sp_dwt.cpp -o sp_dwt.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c spatial_filter.cpp -o spatial_filter.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c wave_variance.cpp -o wave_variance.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c wv_cov.cpp -o wv_cov.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c wv_filters.cpp -o wv_filters.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o wv.so RcppExports.o armadillo_manipulations.o dwt.o process_to_wv.o robust_components.o rtoarmadillo.o sarma.o sp_dwt.o spatial_filter.o wave_variance.o wv_cov.o wv_filters.o -llapack -L/home/hornik/tmp/R-d-gcc-14/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpdnmLAX/R.INSTALL36a71bfde945a/wv/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-wv/00new/wv/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (wv) * installing *source* package ‘blavaan’ ... ** package ‘blavaan’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-3) 14.2.0’ using C++17 make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpVPE7XV/R.INSTALL3694d5777a3b83/blavaan/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I"../inst/include" -I"/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DBOOST_MATH_OVERFLOW_ERROR_POLICY=errno_on_error -DUSE_STANC3 -D_HAS_AUTO_PTR_ETC=0 -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include' -D_REENTRANT -DSTAN_THREADS -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -I"../inst/include" -I"/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DBOOST_MATH_OVERFLOW_ERROR_POLICY=errno_on_error -DUSE_STANC3 -D_HAS_AUTO_PTR_ETC=0 -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/include' -D_REENTRANT -DSTAN_THREADS -fpic -g -O2 -Wall -pedantic -mtune=native -c stanExports_stanmarg.cc -o stanExports_stanmarg.o In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/exp_sinh.hpp:22, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/integrate_1d.hpp:8, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor.hpp:14, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim.hpp:15, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/dump.hpp:7, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:43, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/rstaninc.hpp:4, from stanExports_stanmarg.h:23, from stanExports_stanmarg.cc:5: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:478:7: warning: non-standard suffix on floating constant [-Wpedantic] 478 | { 2.239451308457907276646263599248028318747e-2543Q, 4.087883914826209167187520163938786544603e-936Q, 7.764136408896555253208502557716060646316e-345Q, 2.569416154701911093162209102345213640613e-127Q, 2.705458070464053854934121429341356913371e-47Q, 7.491188348021113917760090371440516887521e-18Q, 5.198294603582515693057809058359470253018e-07Q, 0.005389922804577577496651910020276229582764Q, 0.1920600417448513371971708155403009636026Q, 1.140219687292143805081229623729334820659Q, 7.806184141505854070922571674663437423603Q, 497.9910059199034049204308876883447088185Q, 27016042.73379639480428530637021605662451Q, 172966369043668599418.5877957471751383371Q, 1.061675373362961296862509492541522509127e+55Q, 3.811736521949348274993846910907815663725e+149Q, 4.031589783270233530756613072386084762687e+406Q, 1.857591496578858801010210685679553673527e+1105Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:478:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:478:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:478:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:478:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:478:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:478:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:478:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:478:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:478:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:478:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:478:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:478:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:478:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:478:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:478:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:478:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:478:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:479:7: warning: non-standard suffix on floating constant [-Wpedantic] 479 | { 6.38192460297577997296130116084380488004e-1543Q, 4.553284218142424152191512347101108073691e-568Q, 1.937062162895195937060002998269756423851e-209Q, 1.660126625033739077374114876720390220712e-77Q, 5.725718222547734673080418904622339594753e-29Q, 4.168381624810496871907721134250128161942e-11Q, 0.0001613301975005046953323705477328478299103Q, 0.0474713399587676291203429066086137662056Q, 0.5099627601758401314316521881645115690603Q, 2.636240582466121690921186199130019570689Q, 39.05613529229837860979125052359555007623Q, 30990.22477506600812220045610450185310364Q, 1857609984963.014390268032888333743476748Q, 2359106700485891760372588191034580.237445Q, 5.305502438164240038024865289303441329929e+90Q, 4.153264547632969989660655052675878016131e+246Q, 2.39549808558050342461418974153843135261e+670Q, 1.907821628968714220362207148967088886146e+1822Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:479:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:479:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:479:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:479:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:479:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:479:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:479:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:479:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:479:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:479:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:479:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:479:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:479:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:479:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:479:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:479:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:479:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:480:7: warning: non-standard suffix on floating constant [-Wpedantic] 480 | { 6.057903324174675880054786918700573277193e-1981Q, 8.656190904067090962653034260124195755274e-1202Q, 3.301911576596318022491539142850442018161e-729Q, 1.425485029898429297758878823810205941516e-442Q, 1.016496544573331920304016689793414356743e-268Q, 2.848036810989534605128535426330975462895e-163Q, 2.581928872313165828368701686010678577144e-99Q, 1.601590227152633400640250804848713890905e-60Q, 5.423190544363659530944338243992687682219e-37Q, 1.016381761828840448285257216929561921503e-22Q, 4.635725075794601084424604353869125707077e-14Q, 8.3498615886950739967156481568160331201e-09Q, 1.303868885475613415062833232828648525669e-05Q, 0.001153300807253218344728159062725073079949Q, 0.01814288911244882236930497812936819917973Q, 0.1025656071886267491128524112054469619388Q, 0.3242301173345578897587341005053281543043Q, 0.7688636442387784234265303257286061242944Q, 1.704936145319479582718350104944998619577Q, 4.332223509891009397137256165478273534279Q, 16.00424777396788542203662195209964219854Q, 119.9894477197320344196270723637925628186Q, 3053.206094606356294417950881488718170062Q, 602365.2553559583292243897621777047334194Q, 3550455773.201059364690484967711333425091Q, 5733723619916794.008354021149856937812556Q, 97490164875869638451560588.97182161070984Q, 7.132097466952214251618865223622602893458e+42Q, 4.527309308592487932893086561010303870042e+70Q, 3.115319987396348432317683626917454615693e+116Q, 1.165082263946878699920850154957972424971e+192Q, 4.61868993445541953416660351754288757642e+316Q, 1.235693446874006572643670815583618997533e+522Q, 6.085142451732094001360716852852249745666e+860Q, 1.561268268167538223129534325473369675815e+1419Q, 7.15416720524977809484490807341332912337e+2339Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:480:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:480:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:480:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:480:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:480:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:480:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:480:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:480:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:480:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:480:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:480:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:480:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:480:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:480:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:480:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:480:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:480:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:480:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:480:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:480:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:480:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:480:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:480:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:480:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:480:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:480:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:480:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:480:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:480:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:480:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:480:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:480:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:480:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:480:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:480:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] 481 | { 1.316397640984446973307154953464589633275e-2244Q, 2.91103714441677346374884778987181929964e-1748Q, 1.041515112823364264288004198932170597134e-1361Q, 1.163952866111770553035180609992941917098e-1060Q, 3.331010008037941781256743115855292034324e-826Q, 1.311012824977050544924978303237678019851e-643Q, 2.102714428828884821953890862683078649826e-501Q, 1.181154283940326231672292577754503055478e-390Q, 2.109394497146605580650701202262455040085e-304Q, 3.142026651033038465813811858591067955951e-237Q, 6.481721750272378322539690406725748230209e-185Q, 3.583598691717140876356841025821167196821e-144Q, 1.92664353411734602269656833786034601971e-112Q, 9.922976982058019429687317584840590274898e-88Q, 1.74739966510164583390419990770953521763e-68Q, 1.70290143918426077776224230568679054616e-53Q, 8.030136878691961276301034231071221582072e-42Q, 9.917365028053524354476145352392235487451e-33Q, 1.195101660603996715429218637550950454647e-25Q, 3.914005753291886226833591030642884022779e-20Q, 7.736530260670029404731999770065344717989e-16Q, 1.718208187412490487060798651160186368903e-12Q, 6.957606467986766668781610852908826758303e-10Q, 7.490494532575157167666978009034915042833e-08Q, 2.876694179706214244895454007509365858007e-06Q, 4.95621623915248246930633393189624651192e-05Q, 0.0004580885614011081480136084266758386238991Q, 0.002611973650987327972015238352563580017097Q, 0.01024958074171405301707965287545674192198Q, 0.03016224300141855969532721437631887510999Q, 0.07123470770339354612512733126593011802245Q, 0.1425077997714610113981393440866519718873Q, 0.2522461348260661654197754128666648295859Q, 0.4094768120120717375909393632502588445701Q, 0.6284517616579117758312487536756803604881Q, 0.9367868281384272374009925574604673700344Q, 1.390682216155298525280673341216151282237Q, 2.107722788359705067834932911785748508994Q, 3.347673174455422472577549274497972709551Q, 5.736410541438001909256000925370163885819Q, 10.96982957507422942804757729955529934671Q, 24.38435887010115093181364909323819215825Q, 66.24753699117985966148476651092908482621Q, 234.2315029073004369735419071058951676162Q, 1166.800705234530212373324266823192926477Q, 9058.072807556345123303399558638850050032Q, 124646.6048080201712485538680062639558529Q, 3584819.86746951378682172637961966062923Q, 266100993.7796082691768128807430671558536Q, 66825052601.51570420440082629824643725379Q, 80338167537283.97995953411028754151943899Q, 721934731984192713.8330181471216700501392Q, 85912332322414837303920.66199595232277841Q, 282145179878388664670389842403.4386259681Q, 65637349877520123390370406122266056686.38Q, 3.628585210946194380811829731899355186227e+48Q, 2.255004287064249520310520131039130736102e+62Q, 1.15869387156744556281317453901581151608e+80Q, 6.381237955604791946525597400340497294869e+102Q, 1.010840568769200528470714372039635841864e+132Q, 3.146392870507528140666504475776071670543e+169Q, 4.36361765578710599110918832751720492273e+217Q, 2.853414836089672424680428668400813268807e+279Q, 6.729793209488189821208480033926845423686e+358Q, 5.551856590995612599330193819104783525931e+460Q, 4.052255999971348848790422668447727946207e+591Q, 4.359321017798455720139540978196326313327e+759Q, 2.491143253847753891477290704847758735118e+975Q, 2.715360792058091922045750051250504657e+1252Q, 1.435205921116767351962933143664802808424e+1608Q, 8.210855869756939741458957539090139842153e+2064Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:481:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] 482 | { 2.5206619423030582050540170122224114428e-2389Q, 1.172863116157072894734245940044946298728e-2108Q, 5.723395259249713010169313313952092349583e-1861Q, 2.197389499531280825740095933047095895838e-1642Q, 1.745161518126606205352284095182052308004e-1449Q, 2.988322581168499697535468502285209728217e-1279Q, 5.082152338298280900263082030896703594299e-1129Q, 1.923568771941791888696041505006148197297e-996Q, 1.922376701708619531115877054556550086857e-879Q, 3.43354234203261313677968607194090162681e-776Q, 4.520976144958693723499608471428644204377e-685Q, 1.16924290517103592239484417171431040132e-604Q, 1.076080723321413327903675953550818303011e-533Q, 4.542643147897936251189382845876349248208e-471Q, 8.39641135188984130629872933142091374729e-416Q, 4.975865312177024229863027999897167556333e-367Q, 5.478993165227465768218836546574553849014e-324Q, 5.284390536217028049162677728277890870188e-286Q, 1.753997013998162369603538709409426038521e-252Q, 6.702720150152123722417807613786063904275e-223Q, 8.560241294360251079054160391146097054699e-197Q, 9.357825403471029128412705980972206582797e-174Q, 2.008012274394970040775210542988145301135e-153Q, 1.759362217490417244193766476411245146585e-135Q, 1.201323068157632801024303577546837842597e-119Q, 1.130871751114348441263036859622267361614e-105Q, 2.427952702329304891356334984001160462099e-93Q, 1.853857010064827708666752242673457462783e-82Q, 7.450531057316733181973526587285947355417e-73Q, 2.227578113196083858417625605575495347595e-64Q, 6.723847629738657283145680261671783557431e-57Q, 2.682661571058473846237236792137934196058e-50Q, 1.79453195451344128721262062986439838442e-44Q, 2.482641507616913094034333751341582768753e-39Q, 8.548433311573474998083868427676274583188e-35Q, 8.62683103876914985130407106643678050193e-31Q, 2.947486044786180737441798148453414409162e-27Q, 3.872329992960205091594692590987101453023e-24Q, 2.188786812967355018227938536553422999502e-21Q, 5.877663279328016310239105745938007253203e-19Q, 8.184245820130904480351031879568469982524e-17Q, 6.383596940050023404498310185052683420494e-15Q, 2.985846320564205038037745987061543784625e-13Q, 8.894313235339439363097219119871323774239e-12Q, 1.779353851443023403734921943727167209889e-10Q, 2.505382916672247087749339155220756062847e-09Q, 2.587725630426792604401006002267344237741e-08Q, 2.033572921227284576438445719455687616491e-07Q, 1.25575991824042977482635039643574244403e-06Q, 6.269440412694030058863353111989674862175e-06Q, 2.595085881599872954251937862499883118425e-05Q, 9.105996179813948353400602282697524464869e-05Q, 0.0002762392802117902551874788776118764135082Q, 0.0007371672770779048357858142458553279273489Q, 0.001757270507480588460625943761648134470357Q, 0.003793199741311863237629531234477439491776Q, 0.007504045999882254423903408991718678739289Q, 0.01375129203357108795095672207425737042887Q, 0.0235648806669815705789256424396565511416Q, 0.03808206546757287312410400667727321525232Q, 0.0584750515250823575509888778022876539008Q, 0.08588741816168257779870858476342798002897Q, 0.1213974127142878083976184138280395303104Q, 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22405725198422081640863565993885.01556046Q, 335382887519057371346768487572597807.0471Q, 1.805229891096869056758012265512553255292e+40Q, 4.143352671969591623813814524116221876304e+45Q, 4.918933828381959415593488120823071981949e+51Q, 3.759479884167637531775066458674648098607e+58Q, 2.370354252414880186596684665159418630029e+66Q, 1.632887662723346042746203904027271808135e+75Q, 1.689790288382573271901196765672215169737e+85Q, 3.768157678554177644154419456918439518135e+96Q, 2.725167569380753976402510741556225451742e+109Q, 1.01581121689650812980198251914622703178e+124Q, 3.298856991576337284158560413886137181497e+140Q, 1.691896320782650875076203269043188495403e+159Q, 2.688862164597444111407738620805399395688e+180Q, 2.842157259124605697187795386218677216391e+204Q, 4.747639199403024362447283672125852826296e+231Q, 3.341705701165246712607275760771067534333e+262Q, 3.011199583815608630823405186037102754549e+297Q, 1.223690427483633883424913552261079866419e+337Q, 9.342435130798085441244782123257085986706e+381Q, 6.75013277944506940788764281864974376778e+432Q, 2.883587060602951466391472557821367572471e+490Q, 5.807295241013203323828534467621397444726e+555Q, 5.796152105409012013566864143195753032862e+629Q, 4.122626017834653186081615813053037582347e+713Q, 4.285202011931086479539142857463076440052e+808Q, 1.99573761404250032069947440682788052405e+916Q, 2.014079397178923658633495910333688587014e+1038Q, 3.570148522918403340320830841666908310066e+1176Q, 1.617637477295168349967593280814302779633e+1333Q, 5.291797544280981679311029646634340608003e+1510Q, 7.48399182023635266336559154483155451479e+1711Q, 6.420118348194716283591292220766712713315e+1939Q, 1.230075220167288536615919838362095973387e+2198Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:482:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] 483 | { 3.795390672070017300753231208972661157463e-2465Q, 7.779777553755136439657877267977245651568e-2316Q, 1.433306323222013275209083063019716735198e-2175Q, 8.384206893282840565983221028480116073658e-2044Q, 5.095877570390321573443926231967674337647e-1920Q, 9.801617117780997982789217759593347992677e-1804Q, 1.698559621973235103207681863307358445538e-1694Q, 7.086325399079152707198289787557526167382e-1592Q, 1.791883740278245862466944715145415778126e-1495Q, 6.537977048684207893536199493437969077762e-1405Q, 7.774908468832649847178339204899627179575e-1320Q, 6.478864602726321305200912515898143930486e-1240Q, 7.765090574678907306134193726947577898876e-1165Q, 2.630326119433748477458706343770434986992e-1094Q, 4.749906839546177165095241119597567665718e-1028Q, 8.299891364005248930752542816259554461453e-966Q, 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/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:483:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] 484 | { 5.892170517318086666953925258259606259061e-2504Q, 6.117305974456569837115715631749111865698e-2427Q, 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2.265003149514209136521685690794152242451e+1970Q, 7.958960851406909431550138661401662745318e+2032Q, 2.704333418922120675152324269895601692782e+2097Q, 1.027316567877779588221212575606512955238e+2164Q, 5.067724711353594001952616900450932235233e+2232Q, 3.788567045328638236731381566671647412124e+2303Q, 5.033943905367906070883711379852229702017e+2376Q, 1.401291904868944410529538867922103039787e+2452Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:484:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] 485 | { 1.371514866891850860580147671247114055774e-2523Q, 1.78059151397248974751721161286837911487e-2484Q, 5.721785888758699069103456365589770844687e-2446Q, 4.65054375815005991582966268522321514424e-2408Q, 9.766439188577561460790237859691768982479e-2371Q, 5.411793370039458455354990385284371780101e-2334Q, 8.077731109845845920201388563994532085669e-2298Q, 3.314457987808662239136747203944447166213e-2262Q, 3.814216774420151193012892981499696410824e-2227Q, 1.25553244197497295620771570706808273245e-2192Q, 1.205334248405440130028736096195044170071e-2158Q, 3.439859219242599171410929107063382097289e-2125Q, 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1.483306035186298578810854793693026754937e+2147Q, 9.644046259875525824373227005626744381049e+2180Q, 2.136807992154677198095425726464162609443e+2215Q, 1.644881859879540417424569583091022315341e+2250Q, 4.486258285656428254910735253711445952652e+2285Q, 4.422477869652754055735874573990613824885e+2321Q, 1.607928077696045804457995352614731652546e+2358Q, 2.200965498515380898569903830116828659581e+2395Q, 1.158169679831249142228245049215974628172e+2433Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:485:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:488:7: warning: non-standard suffix on floating constant [-Wpedantic] 488 | { 1.311124362501499644235686793936615689367e-2539Q, 8.804534216807813314757104329326588296303e-933Q, 6.151866113634416819256167600386076492591e-342Q, 7.489561872273541742689179537030908098807e-125Q, 2.901271904710770582279868424530636078955e-45Q, 2.956328411110696011133881227129821807172e-16Q, 7.566001300199861545999807860317199813659e-06Q, 0.02939829736944376661348111575241831549228Q, 0.4375314491139458627156716229106118956143Q, 1.797291527801965779398851915787147159794Q, 20.19084569885298758559779466541998891553Q, 3190.204004406569421821255762141757969656Q, 464240600.3151569718431815049204268434463Q, 8064746494304895107671.373051861760453278Q, 1.345267603784213433366506701434024787812e+57Q, 1.312864386644320246962258704304378039761e+152Q, 3.774555882479308671780101506364300541449e+409Q, 4.727526321376723657695030280786783264447e+1108Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:488:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:488:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:488:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:488:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:488:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:488:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:488:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:488:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:488:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:488:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:488:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:488:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:488:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:488:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:488:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:488:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:488:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:489:7: warning: non-standard suffix on floating constant [-Wpedantic] 489 | { 2.266244194795986437688029480753454536709e-1539Q, 5.948198448973651573057290957613527891511e-565Q, 9.309165866973257982306900988767978877e-207Q, 2.935089536156722196786549328771374738603e-75Q, 3.724520625101352679705795925568729252173e-27Q, 9.984303520500369046645618946072879096604e-10Q, 0.001431356453978288648029393232888019996234Q, 0.1627612496098382979023134567209341094245Q, 0.8715578869575546863808265846496354994425Q, 4.866023145010624995980060168572588092579Q, 155.7337423425961768825532940518427467513Q, 324159.1075527578458688529527151875836096Q, 52559121164917.31725683197728293103939879Q, 181320101439002742278180646071519946.3143Q, 1.108358234190440710092732108743944497577e+93Q, 2.358481112878241907590525258624871004068e+249Q, 3.697706182598331996489023917650042511899e+673Q, 8.005136174837239155367039692394787566174e+1825Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:489:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:489:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:489:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:489:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:489:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:489:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:489:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:489:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:489:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:489:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:489:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:489:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:489:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:489:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:489:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:489:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:489:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:490:7: warning: non-standard suffix on floating constant [-Wpedantic] 490 | { 2.762173700981399765618908933145320277069e-1977Q, 2.39391240206587981734693603632697690162e-1198Q, 5.538595991089672359026435602811151013816e-726Q, 1.450273233250857905077679568886962533672e-439Q, 6.272581042589046274956826312460762996165e-266Q, 1.06595762540573348910987779005613885572e-160Q, 5.861309595694473480177550103363514588648e-97Q, 2.205278730651401402935850497892571252242e-58Q, 4.529434469306552018275201007754555774945e-35Q, 5.149496065541224290846694532009922569098e-21Q, 1.42514032948545940458919452929629803818e-12Q, 1.558687650051216471666230916065939291762e-07Q, 0.0001480770730060221114876366833392461280225Q, 0.00800978386203168352857804963031419632516Q, 0.0781267934470234464218464002858630624883Q, 0.2837432722671675969293700817591698892949Q, 0.6266921805102975877365600915734732725014Q, 1.224519291305484855806028685503263380562Q, 2.828371835589717993286260875443918026645Q, 9.308530387014651096841645763883748667386Q, 51.00340931322451024765452196424930212962Q, 604.5686663559257609710666271339665397866Q, 24963.7894862358300483813083168580513256Q, 8072295.599338304211683309182738003369921Q, 78274670038.30925761297829268300403781939Q, 208243829479833121.9614650100740045614524Q, 5835995851993422640885142487.353759023593Q, 7.038358981684021693676871973997393903892e+44Q, 7.365871905585280499359762130717295092668e+72Q, 8.356559316758425271433369887928065115855e+118Q, 5.152598671967255958872374447108140847196e+194Q, 3.367711726599649783722226912309479425978e+319Q, 1.485503800735698079387410309977283298303e+525Q, 1.206093277935111329439185628983764517497e+864Q, 5.101934496467121392771497579825667303128e+1422Q, 3.854461007601356020735662570367145309928e+2343Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:490:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:490:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:490:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:490:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:490:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:490:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:490:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:490:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:490:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:490:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:490:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:490:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:490:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:490:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:490:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:490:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:490:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:490:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:490:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:490:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:490:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:490:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:490:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:490:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:490:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:490:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:490:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:490:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:490:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:490:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:490:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:490:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:490:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:490:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:490:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] 491 | { 6.801466297807648263832928079249921030841e-2241Q, 1.171357838472361572678710519863396121111e-1744Q, 3.263877177177999549213672495546362918233e-1358Q, 2.840730424450322878168790929290006130205e-1057Q, 6.331359514114723653384308531115955576826e-823Q, 1.940682122137038336501816556640832563117e-640Q, 2.424120579853831996718550176595436495523e-498Q, 1.060491186278820392276664616813055045647e-387Q, 1.47497560627560557171208231533307889666e-301Q, 1.711053655951593201729320308363487612571e-234Q, 2.748977044034961560163018702370375057024e-182Q, 1.183661289657511405743956059634031695806e-141Q, 4.956069833269360409024211595600427510944e-110Q, 1.987957235263791766538675534206288734102e-85Q, 2.726390196575204566967127968691492639624e-66Q, 2.069277780420174850386325233097351936186e-51Q, 7.599593796102130947873535802397682362576e-40Q, 7.30986765636526911109545189857700652429e-31Q, 6.860826488850009000152917649714036190099e-24Q, 1.750137476813662935088831237226143585691e-18Q, 2.694698939685357192909812465408615672038e-14Q, 4.662399523365191039306448758212945866003e-11Q, 1.471147096470191077279866117408849945112e-08Q, 1.234588382988672174156726122838549322181e-06Q, 3.698047527501062909973755871812833332555e-05Q, 0.0004974045204857426689718493339751312553248Q, 0.003594744266562108630858602906463214186729Q, 0.01606776382707240397141574634561698324885Q, 0.04963226590082011795403845149528264747534Q, 0.115744254393794946820912074463938084869Q, 0.2189395796674687235327095676147418958643Q, 0.3566541233572264162152813601314252592465Q, 0.526976767182178399604596779203609072881Q, 0.7398541068159815990923143586965891134531Q, 1.029425785377785516113796863012575526595Q, 1.472772244004991739780066538168681045534Q, 2.232105810859563539773192829947722929989Q, 3.664852093836574055260421484415211997792Q, 6.634229039042487667472625010842259069012Q, 13.47608350422833149354320757617644730575Q, 31.42073749047538137686874567762943831435Q, 86.79141791656354041821488779088943576306Q, 296.6528186585230549314029606641812360007Q, 1329.946577806955206827993564277915367892Q, 8441.344633114675813741927901407789834969Q, 83749.32841027025051399559911280792540265Q, 1475556.123428945995692670896358851704835Q, 54395134.46210963278883974741024860672763Q, 5179091016.902155867702113242034208944851Q, 1668941700142.962732014338449363262585953Q, 2575302232826040.930983214056263444447065Q, 29708121106264252782.32997718334559128081Q, 4538831967003783409536690.268981265379605Q, 19138023153446381738359211515557.27962435Q, 5716447050875173187782003939002192529233.0Q, 4.057627687752827735975516066653569584098e+50Q, 3.237780711010981929311620914986172494341e+64Q, 2.136177206956376829298160177481616436455e+82Q, 1.510581027396811547515066542591252259814e+105Q, 3.072511300612383685659247652666898751003e+134Q, 1.227994026803117836885996853139658018152e+172Q, 2.186769076188247553183183888358166072813e+220Q, 1.836091623107666564777188149335650549888e+282Q, 5.560380603618894755889563902333421267615e+361Q, 5.88998929678686832672515862440158058623e+463Q, 5.520096462216289192193975675075507876736e+594Q, 7.625041435865992600228986717464906255015e+762Q, 5.594942726633317888883469851113674080397e+978Q, 7.83065490388354698017246745548709611393e+1255Q, 5.31445051505238075828831366993821695924e+1611Q, 3.903967482555967268768154031672119092969e+2068Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:491:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] 492 | { 1.386351840518308620839358763554215551931e-2385Q, 5.692714192122587749075617787151443181487e-2105Q, 2.451539999979072363325054695825688359483e-1857Q, 8.306259271201342345210834094714244365054e-1639Q, 5.821665674291993981062416504099267133283e-1446Q, 8.797358828459107177088680667625679647909e-1276Q, 1.320339777528218308293628576902954472032e-1125Q, 4.410206727121778476048579405149038344619e-993Q, 3.88958196740022428105997715246477744601e-876Q, 6.130840948743111294681197948959379863932e-773Q, 7.123986226444013036571903990814705244112e-682Q, 1.625956113900887259810636803089770478958e-601Q, 1.320572219097695369155247708778376474798e-530Q, 4.919706191404226525652134855992684547645e-468Q, 8.024860788515940296029723266854707311236e-413Q, 4.196871666597654619740159911562644470158e-364Q, 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16.4211729806540229459496343813231359463Q, 25.06213770772527921496874748041503923662Q, 39.80978364672011507488440928948335379928Q, 66.11905910269892631335237996583005145737Q, 115.4457061347595208831507793665792395105Q, 213.2410176092965330662887355382883213788Q, 419.7120557571478853925219015922721611943Q, 887.6243135338711385094394965082742389353Q, 2036.238442676944269983660634200868066177Q, 5122.12118711641868483849782862313248795Q, 14303.35249071777352807141644058493109469Q, 44963.76130260101727056610981483402829768Q, 161663.2341506202839569087583140422782503Q, 676850.9723274654978193458405608046555229Q, 3367904.732808158041991176278715985757882Q, 20381802.16891396956321794820770471285557Q, 153995295.8397188853456063357628382678262Q, 1496346599.741648156545891158553037248226Q, 19337797241.59405032267466119941485090523Q, 345272551967.2971484701102656571183717568Q, 8892537034918.26248560562610432170784198Q, 346910103925605.0063359353787631024771918Q, 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1.338015284560800822144968909259062165181e+207Q, 2.532661918076356979939863944652000925382e+234Q, 2.020013699747769556918589976882904336926e+265Q, 2.062587137093633738153639964961537739828e+300Q, 9.497974733972601205199439097559404355421e+339Q, 8.216866861631646227849070101465292350345e+384Q, 6.727368363173988690006109427672655451647e+435Q, 3.256512214038182544092657678379570013082e+493Q, 7.431565554497628535696075925669517436095e+558Q, 8.404907826884863403395059072909982751661e+632Q, 6.774135867874352304403519336536368216792e+716Q, 7.978808683551832748089548367396910285319e+811Q, 4.210726051563171486361372753281330825868e+919Q, 4.815228807107039224016318021511536231054e+1041Q, 9.671936246443378281031357192551408517124e+1179Q, 4.965867685385961630088948794046462865437e+1336Q, 1.840788819983942185751345185174055491455e+1514Q, 2.949992127934753413488342242442835124216e+1715Q, 2.867592218659729126785338974659499305745e+1943Q, 6.225766615806442563214766060198378536369e+2201Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:492:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] 493 | { 2.153709119065749047384536448355900579318e-2461Q, 4.147193855893089802932480896953837816201e-2312Q, 7.177658143381361090563844720372254951009e-2172Q, 3.944230945173987596102529995072916187169e-2040Q, 2.25203912532665129298170461102995236498e-1916Q, 4.069220991977459613504377433271627793079e-1800Q, 6.624466915659053303929653909407578699373e-1691Q, 2.596257880517152044266679980520189262305e-1588Q, 6.167272854034828267808038080246702477106e-1492Q, 2.113894573656814042644120551594507889596e-1401Q, 2.361521019353054468674145270219814329078e-1316Q, 1.848638669607253145389026119290761323843e-1236Q, 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3.825007293467971681545785259893286155041e+2271Q, 7.49023122288057767110049546000007822061e+2417Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:493:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] 494 | { 3.396187965591260438897244230849252949133e-2500Q, 3.41747159490076194366166435197892344024e-2423Q, 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3.725531848970894050805213745804832393498e+2036Q, 1.306062165371036629009984640124042230203e+2101Q, 5.118934916287102017127361633252835489039e+2167Q, 2.605313756841350663666908726854909254754e+2236Q, 2.009526310597759100040671805249352251293e+2307Q, 2.754855306228952463612144173863317999165e+2380Q, 7.912081217360857939375130225445886436671e+2455Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:494:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] 495 | { 7.967275909080119173260394105433878829225e-2520Q, 1.018328235596330817906641738531405586075e-2480Q, 3.221582354315018745133234535022765889901e-2442Q, 2.577837396125923566854501272739510663846e-2404Q, 5.329692879048212454158155682964916728316e-2367Q, 2.907510479746435248283830679207105484516e-2330Q, 4.272515272958308108570054029079326796036e-2294Q, 1.725920944512128844318784735433112719801e-2258Q, 1.955365288532498067112004500362223834133e-2223Q, 6.33672146224698551106793067421941599521e-2189Q, 5.989055317923577956367893208101537342355e-2155Q, 1.682695935085939711542031154300739978911e-2121Q, 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1.089982666110516514588223374299888929834e+2219Q, 8.522650010812465527516484755846137052377e+2253Q, 2.3610765478146005801436450249132797273e+2289Q, 2.364162440159704628905098100196710729676e+2325Q, 8.731002547249769088070048025315387840088e+2361Q, 1.213938210671504830248830740465072981967e+2399Q, 6.488456377484030822273896401425291289227e+2436Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:495:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/exp_sinh_detail.hpp:502:4: warning: non-standard suffix on floating constant [-Wpedantic] 502 | m_t_min = -8.916559006047578828258918121202852111589Q; | ^~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/sinh_sinh.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/integrate_1d.hpp:9: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:450:7: warning: non-standard suffix on floating constant [-Wpedantic] 450 | { 3.08828741797632286606397498241221385e+00Q, 1.48993184649209158013612709175719825e+02Q, 3.41228924788343710247727162226946917e+06Q, 2.06932576604261779073902718911207249e+18Q, 2.08700240760947556038306635808129743e+50Q, 2.01976616071790815078008252209994199e+137Q, 5.67213444764437168603513205349222232e+373Q, 3.06198394306784061113736467298565948e+1016Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:450:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:450:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:450:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:450:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:450:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:450:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:450:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:451:7: warning: non-standard suffix on floating constant [-Wpedantic] 451 | { 9.13048762637669674838078869945948356e-01Q, 1.41578929466281159169215570833490092e+01Q, 6.70421551622327648231120321610008518e+03Q, 9.64172532715049941526010563818587232e+10Q, 2.50895076008577848514087028569888161e+30Q, 1.44726353571033714499079379626715686e+83Q, 3.75263401205045334128277886549019357e+226Q, 2.57846123932685341261715758547064293e+616Q, 1.25169402230987931584130068460134989e+1676Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:451:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:451:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:451:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:451:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:451:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:451:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:451:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:451:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:452:7: warning: non-standard suffix on floating constant [-Wpedantic] 452 | { 4.07297690065758690150573950473604675e-01Q, 1.68206670702114874332932330092838356e+00Q, 6.15089798638672951539668935798437533e+00Q, 4.00396235192940022205839866641270319e+01Q, 7.92920024793102632052902471550336177e+02Q, 1.02984971333097958319686053784919407e+05Q, 3.03862310925243857437932941891415841e+08Q, 1.56544547436249486913719231527597560e+14Q, 4.04246509843021910355659662715183671e+23Q, 1.32170682742965817915034577861235933e+39Q, 4.99123178209955799774620736137366103e+64Q, 7.35294385035987596594501676609562008e+106Q, 2.45145417229813114714431821340237112e+176Q, 1.03030479197459267961759023741376327e+291Q, 9.88478945193556730604342445576518136e+479Q, 3.74498116076433060427765453233124618e+791Q, 1.90292390713026708045766158039087796e+1305Q, 1.72712488231809244721915842027236657e+2152Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:452:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:452:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:452:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:452:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:452:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:452:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:452:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:452:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:452:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:452:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:452:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:452:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:452:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:452:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:452:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:452:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:452:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:453:7: warning: non-standard suffix on floating constant [-Wpedantic] 453 | { 1.98135272251478172615235718398538323e-01Q, 6.40155673500526017670785720911319502e-01Q, 1.24892869825397766254802900819319987e+00Q, 2.26608084094432123181038001270985037e+00Q, 4.29646269670232738148137717958679987e+00Q, 9.13029038709995569641811827045549232e+00Q, 2.31110765386427993316995139635470937e+01Q, 7.42770603432401243012214481410240677e+01Q, 3.26720920711525891697790966796945063e+02Q, 2.15948569431181871552028449867301828e+03Q, 2.41501526289641306037808670196966696e+04Q, 5.31819400275692915826269282626844010e+05Q, 2.80058685721704332307817790755562305e+07Q, 4.52406507979433877971977526863358905e+09Q, 3.08561257398067712180174566763237112e+12Q, 1.33882673301580747789133427708622972e+16Q, 6.25461717656234138147247754416652254e+20Q, 6.18209853581416475394863999233554548e+26Q, 3.07729364978845806686511011060697837e+34Q, 2.34895728937010430290698332595743680e+44Q, 1.14854319789946975790127332653552673e+57Q, 2.25530007001006986846545694404767295e+73Q, 1.87791950056919539419801461538703336e+94Q, 1.36747388793862427976781689638282239e+121Q, 4.24212177246407592514720294750151286e+155Q, 8.23473099012134325391170623028607158e+199Q, 6.06134211888406631001019923425936351e+256Q, 6.32519197436029413652766295658658263e+329Q, 3.61942292928205643948383705201563065e+423Q, 8.82464433126646489632943769283758364e+543Q, 3.35512488018651738642854323317447493e+698Q, 1.02411434678684822400261582079656500e+897Q, 7.40716670979374017620610271197945784e+1151Q, 1.30455147283895162835186634827124464e+1479Q, 2.02948723345659016173510134582487641e+1899Q, 6.99019443250345564805134094483457477e+2438Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:453:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:453:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:453:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:453:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:453:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:453:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:453:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:453:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:453:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:453:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:453:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:453:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:453:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:453:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:453:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:453:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:453:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:453:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:453:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:453:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:453:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:453:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:453:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:453:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:453:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:453:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:453:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:453:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:453:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:453:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:453:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:453:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:453:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:453:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:453:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] 454 | { 9.83967894006732033862249554537934739e-02Q, 3.00605617659955035122465185012715805e-01Q, 5.19857978994938490000644785900799951e-01Q, 7.70362083298887700858583505753306721e-01Q, 1.07131136964131183026831222500748063e+00Q, 1.45056975808899844502126797109703210e+00Q, 1.95077854952036033400296546339240312e+00Q, 2.64003177369555146770080103921424631e+00Q, 3.63137237366741227331951933364601985e+00Q, 5.11991533090335057003526222543242753e+00Q, 7.45666098140488328926087222725984231e+00Q, 1.13022612688997262443461342203136009e+01Q, 1.79641069247277254966592982669611020e+01Q, 3.01781070460189822236726995418068214e+01Q, 5.40387580031237056709826662540066860e+01Q, 1.04107731447746954767459980678311109e+02Q, 2.18029520120262807725988909352359830e+02Q, 5.02155698625910164594509258651311707e+02Q, 1.28862131099822242045586488612672886e+03Q, 3.73921687080054832376623401153054636e+03Q, 1.24750729702019123239464970064060864e+04Q, 4.87639975322669212414357357061002683e+04Q, 2.28145658221913012154676335814417144e+05Q, 1.30877796006484301664040981436471740e+06Q, 9.46084663420966407698078336053299177e+06Q, 8.88883120363727962245667776649286152e+07Q, 1.12416882897434413447175648471746990e+09Q, 1.99127672953214446985509145592687205e+10Q, 5.16743469106098464964433058111638245e+11Q, 2.06721881420399088776240044545119948e+13Q, 1.35061503318410040604770421574064883e+15Q, 1.53854066283650818848773859278941683e+17Q, 3.29074729054035066052820102585085173e+19Q, 1.43729138188449881561963100200796631e+22Q, 1.40983244553034728562740932242727657e+25Q, 3.45913548027797144127990544649862792e+28Q, 2.39872058234095409213724024023509754e+32Q, 5.39880660461729295997086364918754801e+36Q, 4.61334000258062860955942270137550165e+41Q, 1.78768590966790245678294238939560892e+47Q, 3.84198437012433853552557148945213178e+53Q, 5.75279795570858370009870455748773410e+60Q, 7.77181203842728655149182334288749850e+68Q, 1.26967304420408162635234502672130357e+78Q, 3.49567677376573156773252547632961336e+88Q, 2.36251947497169244454694635287097330e+100Q, 6.00214389327365112307366927985587840e+113Q, 9.29071630346415553922675334522602561e+128Q, 1.51444223803384709004933819608345315e+146Q, 4.83290204410990250226310317342789471e+165Q, 6.09623012864338569215560315517200736e+187Q, 6.73889214277659359787962707085479315e+212Q, 1.60917893672694484647176104023542732e+241Q, 2.30724123468764987944582372785293125e+273Q, 6.32636439816284705814531208407868829e+309Q, 1.23274815890184688792156489065830724e+351Q, 7.55519778823055185901318833981345378e+397Q, 7.85730655106759111844772008129590573e+450Q, 9.36328400229780321059086898529742817e+510Q, 1.11332545426270395766246494603539938e+579Q, 1.53432069979625061288117473415446630e+656Q, 3.94622553764411915381186808199466267e+743Q, 4.41554290953392996069257034424439949e+842Q, 7.62037777854651720247173134262034607e+954Q, 1.15650294539918196985498353779647134e+1082Q, 1.50761161209705395018419027031866347e+1226Q, 3.03485088181756935935831645680716816e+1389Q, 3.38561189018537177501905611143498298e+1574Q, 1.64407968993192526511230001818530622e+1784Q, 6.63148743223242467667800355907041029e+2021Q, 1.15911606715877477373516464924821476e+2291Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:454:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] 455 | { 4.91151003502902493004859475143401791e-02Q, 1.48013149674360733270682895306542340e-01Q, 2.48938813740683685679302156785267041e-01Q, 3.53325423692668437764413545980527251e-01Q, 4.62733556612235325924240102411897269e-01Q, 5.78912068164096306746325958452873475e-01Q, 7.03870253386062779930091622585657886e-01Q, 8.39965859144650568772715366992985538e-01Q, 9.90015066424437614655918533324528544e-01Q, 1.15743257014369913143250540144278056e+00Q, 1.34641275918536176274682426896283388e+00Q, 1.56216711390133555099139972670978661e+00Q, 1.81123885278232337973709010374295886e+00Q, 2.10192441900655030086142289233010995e+00Q, 2.44484388558419793403331221069953203e+00Q, 2.85372074663291502355627105440782037e+00Q, 3.34645891095535078662878051589922609e+00Q, 3.94664582105783838715586741669722603e+00Q, 4.68567310159667852940801410152900804e+00Q, 5.60576223090815117543658276010994803e+00Q, 6.76433233683057420359243855855175747e+00Q, 8.24038317537998522052755780107530197e+00Q, 1.01439435612985772971719760903679427e+01Q, 1.26302471433889247197016543768391586e+01Q, 1.59213039578034525767683420917805218e+01Q, 2.03392186192185718515730871595417962e+01Q, 2.63584644576063375239063530328964372e+01Q, 3.46892633322415240903243772580777748e+01Q, 4.64129146701972896279022543245987086e+01Q, 6.32055079389042420324823016892494512e+01Q, 8.77149726180890637368701810147417239e+01Q, 1.24209692624041149789460094889690346e+02Q, 1.79718634784512755704082576283626343e+02Q, 2.66081728332790018970422286819998479e+02Q, 4.03727302957571284052623415274320934e+02Q, 6.28811306654590870314912279241546792e+02Q, 1.00707983750749059403228978538051896e+03Q, 1.66156822918511428805794334715835287e+03Q, 2.82965144078658259775800007408843245e+03Q, 4.98438626658566913853681230634186899e+03Q, 9.10154692764781089316711776560031531e+03Q, 1.72689265547504972749956316341831556e+04Q, 3.41309957877860119013952370617496464e+04Q, 7.04566897705309280220071327032864763e+04Q, 1.52340421776127912819322591860346971e+05Q, 3.46047978289794741370038030428999755e+05Q, 8.28472420923318300234685980449600520e+05Q, 2.09759614660119394556971994518988102e+06Q, 5.63695079886127323617800640982012165e+06Q, 1.61407141085560724511058572293479599e+07Q, 4.94473067891506035994359725043521250e+07Q, 1.62781051682099135552732962095205423e+08Q, 5.78533297163228083837980097936281368e+08Q, 2.23083854068195568971189557384768608e+09Q, 9.38239130606473964277252886929412279e+09Q, 4.32814954477655169232818147143370442e+10Q, 2.20307274404924290439096300978395664e+11Q, 1.24524506710913641251205336694034299e+12Q, 7.86900053495782237478847410099854059e+12Q, 5.59953143297942246131549106648666176e+13Q, 4.52148694990209087674492643778610401e+14Q, 4.17688951654829326508268412199901397e+15Q, 4.45286775965049665585698503105745526e+16Q, 5.52914285314049806809138826588984682e+17Q, 8.07573251656285427526228838811700627e+18Q, 1.40204691626046869792238856080062664e+20Q, 2.92579141283223985009947325351094360e+21Q, 7.42643302933541088612408356755400686e+22Q, 2.32199633124573536432554419147246735e+24Q, 9.06419425063844243203436385576505269e+25Q, 4.48127904881944560890552322697008678e+27Q, 2.84904630472699064463968599282594753e+29Q, 2.36738115918335597454764956918757980e+31Q, 2.61582557845512122680388807973635504e+33Q, 3.91476494826329080795479762913295296e+35Q, 8.09204244855592921872201325412806040e+37Q, 2.35892132094063033238721339006551614e+40Q, 9.91521864853533259120934844876236731e+42Q, 6.15285105934265876352030730244956160e+45Q, 5.78027634014451538840307809528507880e+48Q, 8.44375173418648862568787172019022001e+51Q, 1.97334335089976670761175825761931164e+55Q, 7.60524737855621997973474323106432459e+58Q, 4.99205710493951041807363394610235299e+62Q, 5.77586342390391231642398949899839793e+66Q, 1.22180820194535560304052518248291191e+71Q, 4.91291723038713381630505551954597084e+75Q, 3.91397181373220237220120723831917341e+80Q, 6.45638806990528678730571952330861768e+85Q, 2.31122506852801035759561549878351498e+91Q, 1.88745815771943133919251977215527414e+97Q, 3.70848316543845309405007424631179900e+103Q, 1.85519881228353863491690263658048910e+110Q, 2.50978787317170531780713813087390423e+117Q, 9.79042375559121661656574862110333881e+124Q, 1.17908880794405074709159757136517906e+133Q, 4.71463184672247661988055185868884361e+141Q, 6.76265778595971324046101731037889126e+150Q, 3.77863792934416463055998231270977695e+160Q, 8.97819133628477274891556066769979914e+170Q, 9.95914407403494739885505580434362313e+181Q, 5.69630798679205432723450802096176313e+193Q, 1.86743452325707784871951519925288377e+206Q, 3.92719945859412568046939678789391943e+219Q, 5.97262802266570558434581771213406728e+233Q, 7.46293577265068378653739984957785219e+248Q, 8.77620026161886682323882402399676732e+264Q, 1.12240955327637524990782988952974327e+282Q, 1.82091452946462555573948654780251641e+300Q, 4.41446070956615785669448222555093749e+319Q, 1.90397541953366074155779318767572880e+340Q, 1.75902281129585020130874703618203168e+362Q, 4.24169226543235148528312412985493520e+385Q, 3.29481560149200680874049429678412127e+410Q, 1.03135148368973063748422508803572335e+437Q, 1.65119340908368036904973428016231291e+465Q, 1.74266589416784110509614783944413581e+495Q, 1.58844581452329281145953920728196433e+527Q, 1.66707913260906132496128590135534752e+561Q, 2.73591938942385354685476950777714705e+597Q, 9.72579530056263762611950442873242859e+635Q, 1.05939976357545005153997575210948938e+677Q, 5.11518133258374954640812727174811520e+720Q, 1.62189977683387633564608415164137138e+767Q, 5.13160378352024380054652132361473058e+816Q, 2.52913238575275285564889845966314333e+869Q, 3.11944472707029467274111976509771118e+925Q, 1.59495166899855372832309254674677663e+985Q, 5.78489108811836645985010918537259212e+1048Q, 2.63682062563962607583302320466728244e+1116Q, 2.77639914729635446526568065100606294e+1188Q, 1.29100591117079370649785145859270604e+1265Q, 5.28444381883484729377275155781628201e+1346Q, 3.96822241951490935324304074734991606e+1433Q, 1.19450143809568524145027520220707370e+1526Q, 3.31232848440880307300003548888720354e+1624Q, 2.05165402811808892980123939590704909e+1729Q, 7.28745294435475474950235921073537827e+1840Q, 4.04980582052614743975213722266303496e+1959Q, 1.02489069982330185861864247663932840e+2086Q, 3.68323339665104313610706754895420191e+2220Q, 6.30765607309438726154024457882187086e+2363Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:455:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] 456 | { 2.45471558362986365068916495863375252e-02Q, 7.37246687390334622422734853496288652e-02Q, 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2.33367455582609053817676883927592981e+1411Q, 1.51088703661957707064674032871094166e+1456Q, 2.58751847359969149251723060639056652e+1502Q, 1.30061395127966085145757755976532379e+1550Q, 2.13606222552299322654005297188550444e+1599Q, 1.28040046650693999927593879574416998e+1650Q, 3.14004479696111085451082602060045251e+1702Q, 3.54445798947819813290733040762684700e+1756Q, 2.07959058928044687396800353571401401e+1812Q, 7.18928436789152221379187719747515467e+1869Q, 1.66674057039586083195182422956301841e+1929Q, 2.96144319154423967308042996118314268e+1990Q, 4.62818622228372755683383431403798070e+2053Q, 7.33344579812102490343077358675798902e+2118Q, 1.36418147108226874642787854899398972e+2186Q, 3.46578234556914165783357030404723460e+2255Q, 1.40565670831906218450256157719581702e+2327Q, 1.06915717420033634558717882909227336e+2401Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:456:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] 457 | { 1.22722791705463782987186673092730169e-02Q, 3.68272289449259047084662870963424169e-02Q, 6.14133762687107999107794380606156658e-02Q, 8.60515970877820790729887694832007789e-02Q, 1.10762884001784544594356091768970671e-01Q, 1.35568393495778548180370153140547366e-01Q, 1.60489493745433548938038568465534727e-01Q, 1.85547813164508949628358434474487020e-01Q, 2.10765289867070052445854835116288718e-01Q, 2.36164222221462626796458521613760417e-01Q, 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3.56644781478399708285654633626787310e+1090Q, 5.37871519143314493436384142989505797e+1107Q, 1.51231507376826438439352643482625072e+1125Q, 8.00547597409214659416862336552752652e+1142Q, 8.05824292014776003962551051182620642e+1160Q, 1.55810667707874651581920999067306413e+1179Q, 5.84685322894210562805362663900103590e+1197Q, 4.30279053871861463775007328286068764e+1216Q, 6.27606568696844727186804750244767860e+1235Q, 1.83405691639178257209003812558712559e+1255Q, 1.08562206577049472147312923532596973e+1275Q, 1.31617110088183556471407953592008454e+1295Q, 3.30534811890625751178778666339188597e+1315Q, 1.73929710751143724152073404455311704e+1336Q, 1.94017558758640506527365311633351598e+1357Q, 4.64256117877888468390840687039281473e+1378Q, 2.41181028167559547953976181592626603e+1400Q, 2.75359028326650146526233980288420348e+1422Q, 6.99538184026698121966983693939988891e+1444Q, 4.00451124186760586509360315430592520e+1467Q, 5.23202484555080004711423052985251790e+1490Q, 1.58057811961053246035386581678791248e+1514Q, 1.11871792077110492782575037665515064e+1538Q, 1.88021076704060084216083677757823795e+1562Q, 7.60656064089491206752552083826812435e+1586Q, 7.51058336307020750806534892000369186e+1611Q, 1.83554419567039732901090730190332067e+1637Q, 1.12631598317224168716420027493130577e+1663Q, 1.76058045324267978077071148859252887e+1689Q, 7.11454090252573253550862708170430267e+1715Q, 7.54447665013986581882495689819567483e+1742Q, 2.13157561258614754140817896581925999e+1770Q, 1.62953544267683384450064825605699335e+1798Q, 3.42393824570039208761545128642814549e+1826Q, 2.00910152737038919233657554807306054e+1855Q, 3.34591874171713502502193846562110253e+1884Q, 1.60768420173566681503057284560969387e+1914Q, 2.26623321264716591681578650589551852e+1944Q, 9.53208108881430895613749023747672822e+1974Q, 1.21710154769951529957336846304572308e+2006Q, 4.80082954212402831503263841738379326e+2037Q, 5.95484092414598408997112765002169497e+2069Q, 2.36496081234284780469612914593602194e+2102Q, 3.06292618387296708176633714456063693e+2135Q, 1.31792936450130144017383754294435167e+2169Q, 1.92000470996606623202622993195686002e+2203Q, 9.65401246356529853165036795448719991e+2237Q, 1.70836636787270782624240314280943940e+2273Q, 1.08524396756651055665425968680627268e+2309Q, 2.52515527758383642102305453689375992e+2345Q, 2.19655419566926380800477364631433717e+2382Q, 7.29302139222844158929601074949211737e+2419Q, 9.43942215540978305304206842223557338e+2457Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:457:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] 460 | { 7.86824160483962150718731247753528972e+00Q, 8.80516388073301111614873617217928009e+02Q, 5.39627832352070566780640331455747505e+07Q, 8.87651189696816131653619534136597185e+19Q, 2.43279187926922555339407396412240848e+52Q, 6.39971351208020291074628474066382445e+139Q, 4.88537754925138382971529406336289926e+376Q, 7.16883681174178397147232888689884595e+1019Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:460:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] 461 | { 2.39852427630263521821751964327863340e+00Q, 5.24459642372668102196104972893810164e+01Q, 6.45788781959820175983419155536535220e+04Q, 2.50998524251137450575088710958358197e+12Q, 1.77402926932713870128394504873348147e+32Q, 2.78140611598309731397930137939524577e+85Q, 1.96038425539892219077400134901764646e+229Q, 3.66150166331050442649946863740591804e+619Q, 4.83160223742266359875093017291942249e+1679Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:461:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:462:7: warning: non-standard suffix on floating constant [-Wpedantic] 462 | { 1.74936958310838685164948357553735581e+00Q, 3.97965898193460781260142246747934196e+00Q, 1.84851459857444957000370375296526856e+01Q, 1.86488071893206798762140574520079510e+02Q, 5.97420569526326585534733485801413054e+03Q, 1.27041263514462334076609190768051333e+06Q, 6.16419301429598407050713079962266577e+09Q, 5.23085003181122252980303620742723664e+15Q, 2.22626092994336977442577822584431966e+25Q, 1.19993110204218159156995352671876189e+41Q, 7.47060214427514621386633671542416223e+66Q, 1.81446586052841067579857900138568293e+109Q, 9.97368828205170536427067380214302839e+178Q, 6.91104863699861841609881512683369620e+293Q, 1.09318211394169115127064538702854062e+483Q, 6.82844528756738528157668552351754659e+794Q, 5.72058982179767644458682394627277737e+1308Q, 8.56032690374774097638382410967859196e+2155Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:462:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:462:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:462:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:462:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:462:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:462:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:462:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:462:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:462:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:462:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:462:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:462:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:462:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:462:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:462:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:462:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:462:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:463:7: warning: non-standard suffix on floating constant [-Wpedantic] 463 | { 1.61385906218836617287347897159238284e+00Q, 1.99776729186967326240633804225996920e+00Q, 3.02023197990883422014272607858586524e+00Q, 5.47764184385905776136260784219973923e+00Q, 1.17966091649267167180700675171097629e+01Q, 3.03550484851859829445106624470076282e+01Q, 9.58442179379492086007230677188042206e+01Q, 3.89387023822999207648300659707623000e+02Q, 2.17919325035791134362027855479039721e+03Q, 1.83920812396413285238691815996130729e+04Q, 2.63212061259985616674528417452471371e+05Q, 7.42729650716946820985576548297567563e+06Q, 5.01587564834123235599460194208596041e+08Q, 1.03961086724154411336246801784030341e+11Q, 9.10032891181809197707572646881781254e+13Q, 5.06865116389023157141527800972456655e+17Q, 3.03996652071490261550678134010186516e+22Q, 3.85774019467200796234141077624516370e+28Q, 2.46554276366658108662483315347592086e+36Q, 2.41643944916779946083480638296809418e+46Q, 1.51709155392660414912154078562432491e+59Q, 3.82504341202141137966304147261186085e+75Q, 4.08958239682159863968142401533332977e+96Q, 3.82377589429556404969214069508991010e+123Q, 1.52310131188389950567280579870007714e+158Q, 3.79636429591225792206340580596443044e+202Q, 3.58806569407775804668752012761380285e+259Q, 4.80771394235873283225580334249205764e+332Q, 3.53246347094395956018650264083397114e+426Q, 1.10588270611697913736223556513462127e+547Q, 5.39876096236024571737551333865366627e+701Q, 2.11595993056851385189640470523173475e+900Q, 1.96510021934867185245970661270267904e+1155Q, 4.44393205109502635384704176698510343e+1482Q, 8.87699807096655545789464168899561262e+1902Q, 3.92593109193326452307669545677335709e+2442Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:463:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:463:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:463:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:463:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:463:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:463:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:463:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:463:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:463:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:463:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:463:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:463:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:463:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:463:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:463:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:463:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:463:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:463:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:463:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:463:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:463:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:463:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:463:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:463:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:463:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:463:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:463:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:463:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:463:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:463:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:463:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:463:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:463:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:463:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:463:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] 464 | { 1.58146595953669474418006927755018553e+00Q, 1.66914991043853474595928766810899114e+00Q, 1.85752318859500577038805456054280667e+00Q, 2.17566262362699411973750280579195666e+00Q, 2.67590137521102056412774254907718688e+00Q, 3.44773868249879174414308452011308777e+00Q, 4.64394654035546412593428923628065357e+00Q, 6.53020449657424861626175040050215115e+00Q, 9.58228501556680496101434956408351228e+00Q, 1.46836140751544096048943311347045852e+01Q, 2.35444954874098753301967806270994218e+01Q, 3.96352727330516670475446596081886449e+01Q, 7.03763520626753854729866526912608057e+01Q, 1.32588012478483886772029444321222706e+02Q, 2.66962564954156917240259777486475719e+02Q, 5.79374919850847267642551329761882844e+02Q, 1.36869192832130360517783396696756604e+03Q, 3.55943572153313055370459329132660088e+03Q, 1.03218667727076331844496375241465304e+04Q, 3.38662130285874148722242481662728477e+04Q, 1.27816625984024682983932609690817446e+05Q, 5.65408251392669309819682774275375355e+05Q, 2.99446204478172183285915112991350446e+06Q, 1.94497502342191494704216422938073734e+07Q, 1.59219300769056058775193216743984073e+08Q, 1.69428881861745991307405037132734657e+09Q, 2.42715618231130327064401251217732118e+10Q, 4.87031784819945548978505622564878836e+11Q, 1.43181965622918179279761684530563788e+13Q, 6.48947152309930125567236832263111486e+14Q, 4.80375775250898910621624420686976943e+16Q, 6.20009636130533154063228597685772759e+18Q, 1.50256856243991489872472363253210358e+21Q, 7.43606136718968825065770257988550430e+23Q, 8.26476121867792860277670169213789988e+26Q, 2.29773502789780434527854280137181506e+30Q, 1.80544977956953499695878114747293447e+34Q, 4.60447236019906193095622500171344417e+38Q, 4.45837121203062685356208723886733392e+43Q, 1.95763826111480930920135175891530462e+49Q, 4.76736813716250076391436967954985413e+55Q, 8.08882013947672128478290968549029064e+62Q, 1.23826089734928635728800137667726115e+71Q, 2.29227250527884206154485624438166937e+80Q, 7.15139237374919354944182099110281069e+90Q, 5.47671485015604443103262357109062276e+102Q, 1.57665561837070068115746726288773175e+116Q, 2.76544859595785195782707224216472471e+131Q, 5.10805125528313267335507302418826239e+148Q, 1.84712724771593770593326127127227089e+168Q, 2.64019849791365137425805671512502957e+190Q, 3.30712207665004277982044248938187504e+215Q, 8.94854908018147130170828014681013313e+243Q, 1.45387781135416845215757148230318159e+276Q, 4.51726707740089625471551690811905600e+312Q, 9.97430447590682462482304866834403173e+353Q, 6.92693028486990716815899177110112886e+400Q, 8.16310561774970561761094556639568748e+453Q, 1.10229203674018117764688357752075301e+514Q, 1.48517414340573263317638725427854581e+582Q, 2.31930659130340479680373862468017961e+659Q, 6.75943980795305614491339585238335763e+746Q, 8.57037256903489416057847741388693004e+845Q, 1.67601881139415883633596646631875881e+958Q, 2.88227840597067494281761984210848274e+1085Q, 4.25760590360997372209644858208981618e+1229Q, 9.71180927884114514977776411099980676e+1392Q, 1.22768447544318231419683656745290694e+1578Q, 6.75552744777466879522724469574589977e+1787Q, 3.08769330528996647489562213811332711e+2025Q, 6.11556995885701147380172201043083647e+2294Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:464:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] 465 | { 1.57345777357310838646187303563867071e+00Q, 1.59489275503866378652125176234375753e+00Q, 1.63853651553023474161201404240726646e+00Q, 1.70598040821221362042267472116012952e+00Q, 1.79972439460873727464624167982278042e+00Q, 1.92332285442565630724716834865923523e+00Q, 2.08159737331326817824115844787944556e+00Q, 2.28093488379007051069614759371332643e+00Q, 2.52969785238770465522974588384012833e+00Q, 2.83878478255295118549225363326336900e+00Q, 3.22239574502098061154099310373833179e+00Q, 3.69908135885423511174795221061725889e+00Q, 4.29318827433052679979662014839909054e+00Q, 5.03686535632233007617225633242190622e+00Q, 5.97287114091093219903794699750262296e+00Q, 7.15853842431107756435392592099817447e+00Q, 8.67142780089207638456187671594514668e+00Q, 1.06174736029792232565670017416978690e+01Q, 1.31428500226023559963724543395522033e+01Q, 1.64514562566842803959315507240301356e+01Q, 2.08309944999818906870911848992408145e+01Q, 2.66923598979164019005652953856219015e+01Q, 3.46299351479137818875120770497256101e+01Q, 4.55151836265366257897259922581190951e+01Q, 6.06440808776439211617961123881399848e+01Q, 8.19729691748584679772374579308014156e+01Q, 1.12502046808165256396405270593673624e+02Q, 1.56909655284471412314380735570422525e+02Q, 2.22620434786863827630193937721495593e+02Q, 3.21638548950407775497940425181412035e+02Q, 4.73757450594546173931972158718216152e+02Q, 7.12299454814699763671577043536625350e+02Q, 1.09460965268637655307120839628626644e+03Q, 1.72169778917604957594996919520027157e+03Q, 2.77592490925383514631415480161515100e+03Q, 4.59523006626814934713366494475518926e+03Q, 7.82342758664157367197225266771664916e+03Q, 1.37235743526910540538254088034330370e+04Q, 2.48518896164511955326091118611007805e+04Q, 4.65553874542597278270867281925971401e+04Q, 9.04176678213568688399001015321300800e+04Q, 1.82484396486272839208899824313480775e+05Q, 3.83680026409461402659414641247062580e+05Q, 8.42627197024516802563287310497296237e+05Q, 1.93843257415878263434890786889254173e+06Q, 4.68511284935648552770705724295731096e+06Q, 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3.76931518236156669675469780787997744e+388Q, 3.11671991143285521404945273561352902e+413Q, 1.03852445906488241953781523768340610e+440Q, 1.76991068936691550622045923706396857e+468Q, 1.98843278522413458075823481121326426e+498Q, 1.92935688449069146367365017414279935e+530Q, 2.15545898606278242992831028009446695e+564Q, 3.76556572065746315676705102085514331e+600Q, 1.42493629186903074753303377268119903e+639Q, 1.65224172380259971159552714105694350e+680Q, 8.49215944410421946026158352935784666e+723Q, 2.86631893981320588349507785370693896e+770Q, 9.65377141044877270160840903468092119e+819Q, 5.06475979937176267805686278644876593e+872Q, 6.64979079902917739733555562625190968e+928Q, 3.61927525412094487856735509111512169e+988Q, 1.39737404381894022658529893979427383e+1052Q, 6.78018387620311055320186127570560827e+1119Q, 7.59952044103401209205510909410129754e+1191Q, 3.76162862667265940011010617225061429e+1268Q, 1.63904309514033654209643026524489542e+1350Q, 1.31017858257252889370615733020834140e+1437Q, 4.19821396072116298475329351264459339e+1529Q, 1.23923791809549425227491870065845752e+1628Q, 8.17087984671936465200033730232853592e+1732Q, 3.08946915513007963115203650683840400e+1844Q, 1.82761916569338643673217752139790470e+1963Q, 4.92348318803338950087945240543349430e+2089Q, 1.88350835331965060456271693216651123e+2224Q, 3.43360015586068277793841059306542129e+2367Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:465:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] 466 | { 1.57146131655078329437644376888801138e+00Q, 1.57679016631693834484126246342345329e+00Q, 1.58749564037038331646069625234555521e+00Q, 1.60367395634137020950291269057600307e+00Q, 1.62547112545749394267938666988196139e+00Q, 1.65308501191593930171844822364141731e+00Q, 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4.64314397380853725563695225910483395e+1553Q, 7.86772811149376784892131781209226509e+1602Q, 4.86578559687970087801384706555207321e+1653Q, 1.23116054769360594876926981962811083e+1706Q, 1.43383897399728293235616506956599019e+1760Q, 8.67960762728500385489074199138374599e+1815Q, 3.09584788327503858182429306492345781e+1873Q, 7.40514657822678853879551103162851562e+1932Q, 1.35750288266752565171774149402837640e+1994Q, 2.18886955807028168114167639122307268e+2057Q, 3.57839966436010585653478204799948336e+2122Q, 6.86791017358151132323155526430183469e+2189Q, 1.80021943882415618419042799861559854e+2259Q, 7.53312429569410546159363413753399067e+2330Q, 5.91165553375547478649257686857639971e+2404Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:466:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] 467 | { 1.57096255099783261137673508918980377e+00Q, 1.57229290236721196082451564636254803e+00Q, 1.57495658191266675503402671533627186e+00Q, 1.57895955363616398471678434379990522e+00Q, 1.58431078956361430514416599492388597e+00Q, 1.59102230111703510742216272394562613e+00Q, 1.59910918118616033722590556649394763e+00Q, 1.60858965710906746764504456185444654e+00Q, 1.61948515482641974319339137784305225e+00Q, 1.63182037453073931785527493516038124e+00Q, 1.64562337819112567903033806653906069e+00Q, 1.66092568939542410935608828998468834e+00Q, 1.67776240601646371733138779357535047e+00Q, 1.69617232627708297296989766202480515e+00Q, 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4.97552704772088889228035264268694867e+2241Q, 8.94330619882842342247706838649878784e+2276Q, 5.77072420156026800834371478648673792e+2312Q, 1.36388225285320494361282201451878478e+2349Q, 1.20508189950290985406298094670730466e+2386Q, 4.06413362486490272506766749982212198e+2423Q, 5.34308092015215251528601382597439463e+2461Q, }, | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:467:7: warning: non-standard suffix on floating constant [-Wpedantic] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/quadrature/detail/sinh_sinh_detail.hpp:474:4: warning: non-standard suffix on floating constant [-Wpedantic] 474 | m_t_max = 8.88600744303961370002819023592353264e+00Q; | ^~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:22, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/rstaninc.hpp:3: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/smart_ptr/shared_ptr.hpp:18, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/shared_ptr.hpp:17, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/date_time/time_clock.hpp:17, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:15: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/smart_ptr/detail/shared_count.hpp:361:33: warning: ‘template class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 361 | explicit shared_count( std::auto_ptr & r ): pi_( new sp_counted_impl_p( r.get() ) ) | ^~~~~~~~ In file included from /usr/include/c++/14/memory:78, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:7: /usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here 59 | template class auto_ptr; | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/smart_ptr/shared_ptr.hpp:251:65: warning: ‘template class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 251 | template< class T, class R > struct sp_enable_if_auto_ptr< std::auto_ptr< T >, R > | ^~~~~~~~ /usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here 59 | template class auto_ptr; | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/smart_ptr/shared_ptr.hpp:508:31: warning: ‘template class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 508 | explicit shared_ptr( std::auto_ptr & r ): px(r.get()), pn() | ^~~~~~~~ /usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here 59 | template class auto_ptr; | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/smart_ptr/shared_ptr.hpp:521:22: warning: ‘template class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 521 | shared_ptr( std::auto_ptr && r ): px(r.get()), pn() | ^~~~~~~~ /usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here 59 | template class auto_ptr; | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/smart_ptr/shared_ptr.hpp:604:34: warning: ‘template class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 604 | shared_ptr & operator=( std::auto_ptr & r ) | ^~~~~~~~ /usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here 59 | template class auto_ptr; | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/smart_ptr/shared_ptr.hpp:613:34: warning: ‘template class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 613 | shared_ptr & operator=( std::auto_ptr && r ) | ^~~~~~~~ /usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here 59 | template class auto_ptr; | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/smart_ptr/shared_ptr.hpp: In member function ‘boost::shared_ptr& boost::shared_ptr::operator=(std::auto_ptr<_Up>&&)’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/smart_ptr/shared_ptr.hpp:615:38: warning: ‘template class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 615 | this_type( static_cast< std::auto_ptr && >( r ) ).swap( *this ); | ^~~~~~~~ /usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here 59 | template class auto_ptr; | ^~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:23: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:19:52: required from ‘struct Eigen::internal::traits > >’ 19 | template struct traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from ‘struct Eigen::EigenBase > >’ 42 | typedef typename internal::traits::StorageKind StorageKind; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolverBase.h:68:7: required from ‘class Eigen::SolverBase > >’ 68 | class SolverBase : public EigenBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:59:49: required from ‘class Eigen::LDLT >’ 59 | template class LDLT | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here 46 | if (cholesky.info() != Eigen::Success || !cholesky.isPositive() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:69:42: required from ‘class Eigen::LDLT >’ 69 | MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime, | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here 46 | if (cholesky.info() != Eigen::Success || !cholesky.isPositive() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:287:19: required from ‘class Eigen::LDLT >’ 287 | TmpMatrixType m_temporary; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15: required from here 46 | if (cholesky.info() != Eigen::Success || !cholesky.isPositive() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:29: required from here 47 | || (cholesky.vectorD().array() <= 0.0).any()) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:41: required from here 47 | || (cholesky.vectorD().array() <= 0.0).any()) { | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:45: required from here 47 | || (cholesky.vectorD().array() <= 0.0).any()) { | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:26: required from here 35 | LLt(m, m) = Lt.col(m).head(k).squaredNorm(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:34: required from here 35 | LLt(m, m) = Lt.col(m).head(k).squaredNorm(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/linspaced_array.hpp:37:49: required from here 37 | Eigen::VectorXd v = Eigen::VectorXd::LinSpaced(K, low, high); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:28: required from here 32 | return Eigen::RowVectorXd::LinSpaced(K, low, high); | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:39: required from here 32 | return Eigen::RowVectorXd::LinSpaced(K, low, high); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:53: required from here 58 | return result + sum(lgamma(x + (1 - Eigen::ArrayXd::LinSpaced(k, 1, k)) / 2)); | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:72: required from here 58 | return result + sum(lgamma(x + (1 - Eigen::ArrayXd::LinSpaced(k, 1, k)) / 2)); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77: required from here 58 | return result + sum(lgamma(x + (1 - Eigen::ArrayXd::LinSpaced(k, 1, k)) / 2)); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:17: required from here 71 | A.diagonal().array() -= mu; | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:29: required from here 71 | A.diagonal().array() -= mu; | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:86:43: required from here 86 | bi = (t / (s * (j + 1))) * (A * bi); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:86:43: required from here 86 | bi = (t / (s * (j + 1))) * (A * bi); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:86:43: required from here 86 | bi = (t / (s * (j + 1))) * (A * bi); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:22: required from here 106 | return x.cwiseAbs().rowwise().sum().maxCoeff(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:38: required from here 106 | return x.cwiseAbs().rowwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:178:58: required from here 178 | alpha = Eigen::VectorXd::Constant(_p_max - 1, normA); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/ceil.hpp:57:44: required from ‘stan::math::ceil >(const Eigen::Matrix&):: [with auto:244 = Eigen::Matrix]’ 57 | x, [](const auto& v) { return v.array().ceil(); }); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from ‘static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]’ 47 | f(x)); | ~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from ‘auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]’ 56 | return apply_vector_unary::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 57 | x, [](const auto& v) { return v.array().ceil(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here 197 | Eigen::MatrixXd c = stan::math::ceil(mt) * u.asDiagonal(); | ~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/ceil.hpp:57:51: required from ‘stan::math::ceil >(const Eigen::Matrix&):: [with auto:244 = Eigen::Matrix]’ 57 | x, [](const auto& v) { return v.array().ceil(); }); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from ‘static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]’ 47 | f(x)); | ~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from ‘auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]’ 56 | return apply_vector_unary::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 57 | x, [](const auto& v) { return v.array().ceil(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here 197 | Eigen::MatrixXd c = stan::math::ceil(mt) * u.asDiagonal(); | ~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:59: required from ‘stan::math::apply_vector_unary, void>::apply >(const Eigen::Matrix&):: >(const Eigen::Matrix&, const stan::math::ceil >(const Eigen::Matrix&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >]’ 46 | return make_holder([](const auto& a) { return a.matrix().derived(); }, | ~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, void>::apply >(const Eigen::Matrix&):: >(const Eigen::Matrix&, const stan::math::ceil >(const Eigen::Matrix&)::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from ‘static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::ceil >(const Eigen::Matrix&)::; T2 = Eigen::Matrix; stan::require_t::type> >* = 0; T = Eigen::Matrix]’ 46 | return make_holder([](const auto& a) { return a.matrix().derived(); }, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 47 | f(x)); | ~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46: required from ‘auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0; stan::require_not_var_matrix_t* = 0]’ 56 | return apply_vector_unary::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 57 | x, [](const auto& v) { return v.array().ceil(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41: required from here 197 | Eigen::MatrixXd c = stan::math::ceil(mt) * u.asDiagonal(); | ~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_minCoeff, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_minCoeff, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_minCoeff, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_minCoeff, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:203:38: required from here 203 | int cost = c.colwise().minCoeff().minCoeff(&m); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/one_hot_row_vector.hpp:25:52: required from here 25 | Eigen::RowVectorXd ret = Eigen::RowVectorXd::Zero(K); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:13:64: required from here 13 | : m_(Eigen::VectorXd::Zero(n)), m2_(Eigen::MatrixXd::Zero(n, n)) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:26:31: required from here 26 | Eigen::VectorXd delta(q - m_); | ^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19: required from here 27 | m_ += delta / num_samples_; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19: required from here 27 | m_ += delta / num_samples_; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:38: required from here 28 | m2_ += (q - m_) * delta.transpose(); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here 28 | m2_ += (q - m_) * delta.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:37:40: required from here 37 | covar = m2_ / (num_samples_ - 1.0); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/welford_var_estimator.hpp:28:30: required from here 28 | m2_ += delta.cwiseProduct(q - m_); | ~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/coupled_ode_system.hpp:77:63: required from here 77 | Eigen::Map(dz_dt.data(), dz_dt.size()) = f_y_t; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor.hpp:13: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function ‘void stan::math::internal::combination(std::vector&, const int&, const int&, const int&)’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:73:29: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 73 | for (std::size_t i = 0; i < p - 1; i++) { | ~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:79:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 79 | } while (k < x); | ~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function ‘void stan::math::internal::combos(const int&, const double&, const int&, std::vector >&)’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:102:29: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 102 | for (std::size_t i = 1; i != choose_dimk + 1; i++) { | ~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:105:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 105 | for (std::size_t j = 0; j != k; j++) { | ~~^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function ‘void stan::math::internal::increment(std::vector&, const int&, const double&, const std::vector&, std::vector&)’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:126:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 126 | for (std::size_t j = 0; j != k; j++) { | ~~^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:132:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 132 | while ((first_zero < index.size()) && index[first_zero]) { | ~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:135:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 135 | if (first_zero == index.size()) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:143:31: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 143 | for (std::size_t i = 0; i != first_zero + 1; i++) { | ~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function ‘void stan::math::internal::signcombos(const int&, const double&, const int&, std::vector >&)’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:168:29: warning: comparison of integer expressions of different signedness: ‘std::size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 168 | for (std::size_t i = 1; i != choose_dimk + 1; i++) { | ~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/ode_store_sensitivities.hpp:40:64: required from here 40 | coupled_state.size()); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/aux_/na_assert.hpp:23, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/arg.hpp:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/placeholders.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/apply.hpp:24, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_optimization.hpp:18, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_wrapper.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array.hpp:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:22, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/vector.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:23, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint.hpp:25, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/ode_rk45.hpp:9, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/integrate_ode_rk45.hpp:6, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor.hpp:16: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp: At global scope: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses] 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/traits.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:27: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:111:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 111 | public std::iterator { | ^~~~~~~~ In file included from /usr/include/c++/14/bits/stl_algobase.h:65, from /usr/include/c++/14/bits/specfun.h:43, from /usr/include/c++/14/cmath:3898, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/platform/compiler.h:100, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp/r/headers.h:66, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/RcppCommon.h:30, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include/Rcpp.h:27, from stanExports_stanmarg.cc:3: /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:149:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 149 | public std::iterator { | ^~~~~~~~ /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/detail/iterator.hpp:204:21: warning: ‘template struct std::iterator’ is deprecated [-Wdeprecated-declarations] 204 | public std::iterator { | ^~~~~~~~ /usr/include/c++/14/bits/stl_iterator_base_types.h:127:34: note: declared here 127 | struct _GLIBCXX17_DEPRECATED iterator | ^~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/fusion/functional/invocation/detail/that_ptr.hpp:13, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/fusion/functional/invocation/invoke.hpp:52, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/fusion/functional/adapter/fused.hpp:17, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/fusion/functional/generation/make_fused.hpp:13, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/fusion/include/make_fused.hpp:11, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resize.hpp:28, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/get_pointer.hpp:48:40: warning: ‘template class std::auto_ptr’ is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations] 48 | template T * get_pointer(std::auto_ptr const& p) | ^~~~~~~~ /usr/include/c++/14/bits/unique_ptr.h:59:28: note: declared here 59 | template class auto_ptr; | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:39: required from ‘stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]’ 92 | return max + std::log((v_ref.array() - max).exp().sum()); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from ‘static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]’ 93 | return f(x); | ~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from ‘auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]’ 83 | return apply_vector_unary::reduce(x, [&](const auto& v) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ 84 | if (v.size() == 0) { | ~~~~~~~~~~~~~~~~~~~~ 85 | return NEGATIVE_INFTY; | ~~~~~~~~~~~~~~~~~~~~~~ 86 | } | ~ 87 | const auto& v_ref = to_ref(v); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 88 | const double max = v_ref.maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 89 | if (!std::isfinite(max)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 90 | return max; | ~~~~~~~~~~~ 91 | } | ~ 92 | return max + std::log((v_ref.array() - max).exp().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 93 | }); | ~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here 59 | double log_sum_y = log_sum_exp(log_y); | ~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from ‘stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]’ 92 | return max + std::log((v_ref.array() - max).exp().sum()); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from ‘static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]’ 93 | return f(x); | ~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from ‘auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]’ 83 | return apply_vector_unary::reduce(x, [&](const auto& v) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ 84 | if (v.size() == 0) { | ~~~~~~~~~~~~~~~~~~~~ 85 | return NEGATIVE_INFTY; | ~~~~~~~~~~~~~~~~~~~~~~ 86 | } | ~ 87 | const auto& v_ref = to_ref(v); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 88 | const double max = v_ref.maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 89 | if (!std::isfinite(max)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 90 | return max; | ~~~~~~~~~~~ 91 | } | ~ 92 | return max + std::log((v_ref.array() - max).exp().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 93 | }); | ~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here 59 | double log_sum_y = log_sum_exp(log_y); | ~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42: required from ‘stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]’ 92 | return max + std::log((v_ref.array() - max).exp().sum()); | ~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from ‘static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]’ 93 | return f(x); | ~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from ‘auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]’ 83 | return apply_vector_unary::reduce(x, [&](const auto& v) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ 84 | if (v.size() == 0) { | ~~~~~~~~~~~~~~~~~~~~ 85 | return NEGATIVE_INFTY; | ~~~~~~~~~~~~~~~~~~~~~~ 86 | } | ~ 87 | const auto& v_ref = to_ref(v); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 88 | const double max = v_ref.maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 89 | if (!std::isfinite(max)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 90 | return max; | ~~~~~~~~~~~ 91 | } | ~ 92 | return max + std::log((v_ref.array() - max).exp().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 93 | }); | ~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here 59 | double log_sum_y = log_sum_exp(log_y); | ~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:52: required from ‘stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]’ 92 | return max + std::log((v_ref.array() - max).exp().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from ‘static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]’ 93 | return f(x); | ~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from ‘auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]’ 83 | return apply_vector_unary::reduce(x, [&](const auto& v) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ 84 | if (v.size() == 0) { | ~~~~~~~~~~~~~~~~~~~~ 85 | return NEGATIVE_INFTY; | ~~~~~~~~~~~~~~~~~~~~~~ 86 | } | ~ 87 | const auto& v_ref = to_ref(v); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 88 | const double max = v_ref.maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 89 | if (!std::isfinite(max)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 90 | return max; | ~~~~~~~~~~~ 91 | } | ~ 92 | return max + std::log((v_ref.array() - max).exp().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 93 | }); | ~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here 59 | double log_sum_y = log_sum_exp(log_y); | ~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:38:59: required from here 38 | Eigen::VectorXd stddev = S_ldlt.vectorD().array().sqrt().matrix(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 5>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 5>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 5>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 5>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 5>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:75: required from here 46 | = mu + (S_ldlt.transpositionsP().transpose() * (S_ldlt.matrixL() * z)); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:76: required from here 46 | = mu + (S_ldlt.transpositionsP().transpose() * (S_ldlt.matrixL() * z)); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:135:41: required from here 135 | Eigen::VectorXd(F.transpose() * theta_t), V_ldlt, rng); | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/hmm_hidden_state_prob.hpp:77:52: required from here 77 | alphas.col(n) = alphas.col(n).cwiseProduct(beta); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/hmm_latent_rng.hpp:71:73: required from here 71 | probs_vec = alphas.col(n_transitions) / alphas.col(n_transitions).sum(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_cholesky_rng.hpp:49:68: required from here 49 | return L_S.template triangularView() * B.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1>, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_cholesky_rng.hpp:49:68: required from here 49 | return L_S.template triangularView() * B.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::TriangularView >, 2>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::TriangularView >, 2>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::TriangularView >, 2>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:42: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::TriangularView >, 2>, 0>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:32: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:25:32: required from here 25 | S_inv = ldlt_of_S.solve(S_inv); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here 27 | return 0.5 * (asym.transpose() + asym); // ensure symmetry | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here 27 | return 0.5 * (asym.transpose() + asym); // ensure symmetry | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40: required from here 27 | return 0.5 * (asym.transpose() + asym); // ensure symmetry | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:47: required from here 89 | = Sigma_ldlt.vectorD().array().inverse().sqrt().matrix(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:54: required from here 89 | = Sigma_ldlt.vectorD().array().inverse().sqrt().matrix(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 6>, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:109:64: required from here 109 | (Sigma_ldlt.matrixU().solve(X)).transpose())) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 6>, Eigen::Matrix >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51: recursively required by substitution of ‘template const Eigen::internal::triangular_solve_retval >, 6>, Other> Eigen::TriangularViewImpl >, 6, Eigen::Dense>::solve(const Eigen::MatrixBase&) const [with int Side = ; Other = ]’ 108 | * (D_ldlt.matrixU().solve( | ~~~~~~~~~~~~~~~~~~~~~~^ 109 | (Sigma_ldlt.matrixU().solve(X)).transpose())) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51: required from here /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32: required from here 110 | .transpose() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32: required from here 110 | .transpose() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:43: required from here 110 | .transpose() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:51: required from here 111 | * D_ldlt.transpositionsP()); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:52: required from here 111 | * D_ldlt.transpositionsP()); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from ‘static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 62 | return x.unaryExpr([](auto&& x) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~ 63 | return apply_scalar_unary>::apply(x); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | }); | ~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: required from ‘struct stan::math::apply_scalar_unary, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, void>’ 72 | apply_scalar_unary::apply(std::declval()))>; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50: required from ‘auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; stan::require_not_var_matrix_t* = 0; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t* = 0]’ 120 | return apply_scalar_unary::apply(x); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:39:44: required from here 39 | lp += lgamma(1 + ns_map.sum()) - lgamma(1 + ns_map).sum(); | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/ordered_probit_lpmf.hpp:13, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/ordered_probit_log.hpp:5, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob.hpp:256, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim.hpp:16: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/std_normal_lcdf.hpp: In function ‘stan::return_type_t stan::math::std_normal_lcdf(const T_y&)’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/std_normal_lcdf.hpp:69: note: ‘-Wmisleading-indentation’ is disabled from this point onwards, since column-tracking was disabled due to the size of the code/headers 69 | } else if (10.0 * log(fabs(scaled_y)) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/std_normal_lcdf.hpp:69: note: adding ‘-flarge-source-files’ will allow for more column-tracking support, at the expense of compilation time and memory /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/dump.hpp: In member function ‘virtual std::vector > stan::io::dump::vals_c(const std::string&) const’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/dump.hpp:694: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 694 | for (comp_iter = 0, real_iter = 0; real_iter < val_r->second.first.size(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/dump.hpp:707: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 707 | real_iter < val_i->second.first.size(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:102:0: required from here 102 | if (C_adj.size() > 0) { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:111:0: required from here 111 | = D_adj.adjoint().template triangularView(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1, -1, false>, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:116:0: required from here 116 | D_adj.diagonal() *= 0.5; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ 59 | template class RefBase | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ 281 | template class Ref | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:76:42: required from ‘class Eigen::LLT, 0, Eigen::OuterStride<> >, 1>’ 76 | MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:142:0: required from here 142 | check_pos_definite("cholesky_decompose", "m", L_factor); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:13:0: required from ‘class stan::math::arena_matrix, void>’ 13 | class arena_matrix> /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:144:0: required from here 144 | L_A.template triangularView().setZero(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cholesky_factor_constrain.hpp:42:0: required from here 42 | y_val.row(m).head(m) = x.val().segment(pos, m); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 28 | * arena_L_val.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 27 | arena_t res = arena_L_val.template triangularView() 28 | * arena_L_val.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 31 | arena_L.adj() += ((res.adj().transpose() + res.adj()) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:32:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 31 | arena_L.adj() += ((res.adj().transpose() + res.adj()) 32 | * arena_L_val.template triangularView()) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:0: required from here 94 | adjsigma += (cov_diag.val().array() * cov_diag.adj().array()).sum(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:0: required from here 94 | adjsigma += (cov_diag.val().array() * cov_diag.adj().array()).sum(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:0: required from here 94 | adjsigma += (cov_diag.val().array() * cov_diag.adj().array()).sum(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:0: required from here 94 | adjsigma += (cov_diag.val().array() * cov_diag.adj().array()).sum(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:0: required from here 94 | adjsigma += (cov_diag.val().array() * cov_diag.adj().array()).sum(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: recursively required by substitution of ‘template static std::true_type stan::is_base_pointer_convertible >::f(const Eigen::EigenBase*) [with OtherDerived = ]’ 29 | = decltype(f(std::declval *>()))::value | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: required from ‘struct stan::is_base_pointer_convertible >’ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:21:71: required from ‘struct stan::is_eigen >’ 21 | : bool_constant::value> {}; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/var.hpp:301:0: required by substitution of ‘template class stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type> [with T = Eigen::SparseMatrix]’ 301 | (is_eigen::value || is_kernel_expression_and_not_scalar::value) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/csr_matrix_times_vector.hpp:120:0: required from here 120 | arena_t res = w_mat_arena.val() * value_of(b_arena); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ 50 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 1>’ 148 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 222 | class Map, Options, StrideType> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:129:0: required from ‘class stan::math::arena_matrix, void>’ 129 | class arena_matrix> /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/vari.hpp:814:0: required from ‘class stan::math::vari_value, void>’ 814 | using InnerIterator = typename arena_matrix::InnerIterator; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/var.hpp:419:0: required from ‘const auto& stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::val() const [with T = Eigen::SparseMatrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]’ 419 | inline const auto& val() const noexcept { return vi_->val(); } /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/csr_matrix_times_vector.hpp:120:0: required from here 120 | arena_t res = w_mat_arena.val() * value_of(b_arena); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from ‘class Eigen::Tridiagonalization >’ 97 | >::type SubDiagonalReturnType; | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/eigendecompose_sym.hpp:40:0: required from here 40 | arena_t eigenvals = solver.eigenvalues(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1>, Eigen::Dense>’ 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView, -1, 1> >::adj_Op, Eigen::Matrix, -1, 1> >’ 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/grad.hpp:27:0: required from here 27 | g = x.adj(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log.hpp:66:44: required from ‘stan::math::log, 0> >(const Eigen::Diagonal, 0>&):: [with auto:169 = Eigen::Diagonal, 0>]’ 66 | x, [](const auto& v) { return v.array().log(); }); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from ‘static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::; T2 = Eigen::Diagonal, 0>; stan::require_t::type> >* = 0; T = Eigen::Diagonal, 0>]’ 47 | f(x)); | ~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from ‘auto stan::math::log(const Container&) [with Container = Eigen::Diagonal, 0>; stan::require_container_st* = 0]’ 65 | return apply_vector_unary::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 66 | x, [](const auto& v) { return v.array().log(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:0: required from here 49 | var log_det = sum(log(M_ldlt.vectorD())); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log.hpp:66:50: required from ‘stan::math::log, 0> >(const Eigen::Diagonal, 0>&):: [with auto:169 = Eigen::Diagonal, 0>]’ 66 | x, [](const auto& v) { return v.array().log(); }); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from ‘static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::; T2 = Eigen::Diagonal, 0>; stan::require_t::type> >* = 0; T = Eigen::Diagonal, 0>]’ 47 | f(x)); | ~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from ‘auto stan::math::log(const Container&) [with Container = Eigen::Diagonal, 0>; stan::require_container_st* = 0]’ 65 | return apply_vector_unary::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 66 | x, [](const auto& v) { return v.array().log(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:0: required from here 49 | var log_det = sum(log(M_ldlt.vectorD())); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:59: required from ‘stan::math::apply_vector_unary, 0>, void>::apply, 0> >(const Eigen::Diagonal, 0>&):: >(const Eigen::Diagonal, 0>&, const stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >]’ 46 | return make_holder([](const auto& a) { return a.matrix().derived(); }, | ~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, 0>, void>::apply, 0> >(const Eigen::Diagonal, 0>&):: >(const Eigen::Diagonal, 0>&, const stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from ‘static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, 0> >(const Eigen::Diagonal, 0>&)::; T2 = Eigen::Diagonal, 0>; stan::require_t::type> >* = 0; T = Eigen::Diagonal, 0>]’ 46 | return make_holder([](const auto& a) { return a.matrix().derived(); }, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 47 | f(x)); | ~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from ‘auto stan::math::log(const Container&) [with Container = Eigen::Diagonal, 0>; stan::require_container_st* = 0]’ 65 | return apply_vector_unary::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 66 | x, [](const auto& v) { return v.array().log(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:0: required from here 49 | var log_det = sum(log(M_ldlt.vectorD())); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:13:0: required from ‘class stan::math::arena_matrix, void>’ 13 | class arena_matrix> /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:51:0: required from here 51 | reverse_pass_callback([arena_M, log_det, arena_M_inv_transpose]() mutable { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/log_softmax.hpp:73:0: required from here 73 | vector_d diff = (x_d.array() - x_d.maxCoeff()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/log_softmax.hpp:81:0: required from here 81 | Eigen::Map(softmax_x_d_array, a_size) = softmax_x_d.array() / sum; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:50:0: required from here 50 | arena_powers[0] = Eigen::MatrixXd::Identity(N, N); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:53:0: required from here 53 | arena_powers[i] = arena_powers[1] * arena_powers[i - 1]; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:63:0: required from here 63 | adj_M += adj_C * arena_powers[i - 1].transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:64:0: required from here 64 | adj_C = M_val.transpose() * adj_C; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:64:0: required from here 64 | adj_C = M_val.transpose() * adj_C; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> >, Eigen::Dense>’ 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >’ 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:67:0: required from here 67 | Eigen::Map(variRefB_, M_, N_).adj() += adjB; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/mdivide_left_tri.hpp:85:0: required from here 85 | adjA = -adjB * Map(C_, M_, N_).transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/mdivide_left_tri.hpp:85:0: required from here 85 | adjA = -adjB * Map(C_, M_, N_).transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:25:0: required from here 25 | matrix_d M = 0.5 * (Cd + Cd.transpose()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:55:0: required from here 55 | L.col(0).tail(pull) = CPCs.val().head(pull); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:13:0: required from ‘class stan::math::arena_matrix, void>’ 13 | class arena_matrix> /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:56:0: required from here 56 | arena_acc.tail(pull) = 1.0 - CPCs.val().head(pull).array().square(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:63:0: required from here 63 | L.col(i).tail(pull) = cpc_seg * arena_acc.tail(pull).sqrt(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:0: required from here 86 | -= 2.0 * acc_adj.tail(pull) * acc_val.tail(pull) * cpc_seg_val; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:0: required from here 86 | -= 2.0 * acc_adj.tail(pull) * acc_val.tail(pull) * cpc_seg_val; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:0: required from here 90 | += L_res.adj().array().col(i).tail(pull) * acc_val.tail(pull).sqrt(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:0: required from here 90 | += L_res.adj().array().col(i).tail(pull) * acc_val.tail(pull).sqrt(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:0: required from here 90 | += L_res.adj().array().col(i).tail(pull) * acc_val.tail(pull).sqrt(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, -1, 1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:0: required from here 90 | += L_res.adj().array().col(i).tail(pull) * acc_val.tail(pull).sqrt(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/read_cov_matrix.hpp:56:0: required from here 56 | sds.adj() += (prod.adj().cwiseProduct(corr_L.val())).rowwise().sum(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/rows_dot_self.hpp:41:0: required from here 41 | x.adj() += (2 * res.adj()).asDiagonal() * x.val(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0, Eigen::Stride<0, 0> >, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/svd.hpp:56:0: required from here 56 | arena_Fp.diagonal().setZero(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/svd.hpp:69:0: required from here 69 | * (arena_Fp.array() * (UUadjT - UUadjT.transpose()).array()) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Transpose > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/svd.hpp:69:0: required from here 69 | * (arena_Fp.array() * (UUadjT - UUadjT.transpose()).array()) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/svd.hpp:70:0: required from here 70 | .matrix() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:61:0: required from here 61 | .matrix() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Transpose > > > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:61:0: required from here 61 | .matrix() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47: required from ‘struct Eigen::internal::traits, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 278 | typedef typename DiagonalVectorType::Scalar Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from ‘struct Eigen::EigenBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 42 | typedef typename internal::traits::StorageKind StorageKind; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:18:7: required from ‘class Eigen::DiagonalBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 18 | class DiagonalBase : public EigenBase | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:293:7: required from ‘class Eigen::DiagonalWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 293 | class DiagonalWrapper | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:63:0: required from here 63 | + arena_U * arena_D.asDiagonal().inverse() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> >, Eigen::Dense>’ 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >’ 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:0: required from here 79 | vector_d di = 2 * adj_ * (v1_map.val() - v2_map.val()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:0: required from here 79 | vector_d di = 2 * adj_ * (v1_map.val() - v2_map.val()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:0: required from here 79 | vector_d di = 2 * adj_ * (v1_map.val() - v2_map.val()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> >, Eigen::Dense>’ 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView*, -1, 1> > >::adj_Op, Eigen::Map*, -1, 1> > >’ 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:80:0: required from here 80 | v1_map.adj() += di; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:0: required from here 111 | += 2 * adj_ * (v1_map.val() - Eigen::Map(v2_, length_)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView*, -1, 1> > >::val_Op, Eigen::Map*, -1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:0: required from here 111 | += 2 * adj_ * (v1_map.val() - Eigen::Map(v2_, length_)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >’ 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/variance.hpp:23:0: required from here 23 | vector_d dtrs_vals = dtrs_map.val(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:0: required from here 25 | vector_d diff = dtrs_vals.array() - dtrs_vals.mean(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:0: required from here 27 | Eigen::Map(partials, size) = 2 * diff.array() / size_m1; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:0: required from here 27 | Eigen::Map(partials, size) = 2 * diff.array() / size_m1; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1> >::val_Op, Eigen::Matrix, -1, 1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1> >::val_Op, Eigen::Matrix, -1, 1> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1> >::val_Op, Eigen::Matrix, -1, 1> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1> >::val_Op, Eigen::Matrix, -1, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1> >::val_Op, Eigen::Matrix, -1, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl, -1, 1> >::val_Op, Eigen::Matrix, -1, 1>, Eigen::Dense>’ 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView, -1, 1> >::val_Op, Eigen::Matrix, -1, 1> >’ 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/functor/jacobian.hpp:26:0: required from here 26 | fx = fx_var.val(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:27: required from ‘stan::math::value_of, -1, 1>&>(const Eigen::Matrix, -1, 1>&):: [with auto:11 = const Eigen::Matrix, -1, 1>]’ 75 | return a.unaryExpr([](const auto& scal) { return value_of(scal); }); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::value_of, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::; Args = {const Eigen::Matrix, -1, 1, 0, -1, 1>&}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/value_of.hpp:73:21: required from ‘auto stan::math::value_of(EigMat&&) [with EigMat = const Eigen::Matrix, -1, 1>&; stan::require_eigen_dense_base_t* = 0; stan::require_not_st_arithmetic* = 0]’ 73 | return make_holder( | ~~~~~~~~~~~^ 74 | [](auto& a) { | ~~~~~~~~~~~~~ 75 | return a.unaryExpr([](const auto& scal) { return value_of(scal); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 76 | }, | ~~ 77 | std::forward(M)); | ~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/functor/algebra_solver_fp.hpp:101:0: required from here 101 | y_dummy(stan::math::value_of(y)), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >’ 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/functor/solve_powell.hpp:369:0: required from here 369 | Eigen::VectorXd eta = -Jf_x_T_lu_ptr->solve(ret.adj().eval()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/functor/solve_powell.hpp:369:0: required from here 369 | Eigen::VectorXd eta = -Jf_x_T_lu_ptr->solve(ret.adj().eval()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/functor/cvodes_integrator_adjoint.hpp:604:0: required from here 604 | f_y_t_vars.adj() = -Eigen::Map(NV_DATA_S(yB), N_); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/functor/finite_diff_hessian_times_vector_auto.hpp:62:0: required from here 62 | hvp = (grad_forward - grad_backward) / (2 * epsilon); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/initialize.hpp:7, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:49: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/random_var_context.hpp: In member function ‘virtual std::vector > stan::io::random_var_context::vals_c(const std::string&) const’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/random_var_context.hpp:111: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (comp_iter = 0, real_iter = 0; real_iter < val_r.size(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:0: required from here 182 | return normal_fullrank(Eigen::VectorXd(mu_.array().square()), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:0: required from here 183 | Eigen::MatrixXd(L_chol_.array().square())); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:0: required from here 197 | return normal_fullrank(Eigen::VectorXd(mu_.array().sqrt()), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:0: required from here 198 | Eigen::MatrixXd(L_chol_.array().sqrt())); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:263:0: required from here 263 | L_chol_.array() /= rhs.L_chol().array(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:0: required from here 351 | return (L_chol_ * eta) + mu_; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:0: required from here 351 | return (L_chol_ * eta) + mu_; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:0: required from here 459 | L_grad.diagonal().array() += L_chol_.diagonal().array().inverse(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:0: required from here 314 | return eta.array().cwiseProduct(omega_.array().exp()) + mu_.array(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:0: required from here 314 | return eta.array().cwiseProduct(omega_.array().exp()) + mu_.array(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:0: required from here 314 | return eta.array().cwiseProduct(omega_.array().exp()) + mu_.array(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:0: required from here 370 | omega_grad.array() += tmp_mu_grad.array().cwiseProduct(eta.array()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:0: required from here 388 | omega_grad.array() = omega_grad.array().cwiseProduct(omega_.array().exp()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:22:0: required from here 22 | vector_d eigenprojections = eigenvectors.transpose() * g; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:175:0: required from here 175 | rho = rho_bck + rho_fwd; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from here 22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from here 22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from here 22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from here 22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from here 22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 2>, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 2>, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 2>, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 2>, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 2>, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:0: required from here 53 | z.p = z.inv_e_metric_.llt().matrixU().solve(u); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/to_matrix.hpp:133:17: required from ‘auto stan::math::to_matrix(const std::vector&, int, int) [with T = double]’ 133 | return Eigen::Map>( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 134 | &x[0], m, n); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:0: required from here 33 | inv_metric = stan::math::to_matrix(dense_vals, num_params, num_params); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:27:0: required from here 27 | covar = (n / (n + 5.0)) * covar /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:0: required from here 29 | * Eigen::MatrixXd::Identity(covar.rows(), covar.cols()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:0: required from here 29 | * Eigen::MatrixXd::Identity(covar.rows(), covar.cols()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:0: recursively required by substitution of ‘template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]’ 21 | return 0.5 * z.p.dot(z.inv_e_metric_.cwiseProduct(z.p)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:0: required from here /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:0: required from here 27 | var = (n / (n + 5.0)) * var /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:0: required from here 28 | + 1e-3 * (5.0 / (n + 5.0)) * Eigen::VectorXd::Ones(var.size()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:0: required from here 28 | + 1e-3 * (5.0 / (n + 5.0)) * Eigen::VectorXd::Ones(var.size()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:7, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:68: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/array_var_context.hpp: In member function ‘virtual std::vector > stan::io::array_var_context::vals_c(const std::string&) const’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/array_var_context.hpp:304: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 304 | for (comp_iter = 0, real_iter = 0; real_iter < val_r->second.first.size(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/array_var_context.hpp:317: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 317 | real_iter < val_i->second.first.size(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:72:0: required from here 72 | Eigen::Map(&row[0], draws.cols()) = draws.row(i); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:13:0: required from ‘class stan::math::arena_matrix, void>’ 13 | class arena_matrix> /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/rvalue_varmat.hpp:145:0: required from here 145 | x_ret_vals.coeffRef(j) = x.val().coeff(row_idx_val, col_idx_vals[j]); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply.hpp:28:12: required from ‘auto stan::math::multiply(const Mat&, Scal) [with Mat = Eigen::Matrix; Scal = int; stan::require_stan_scalar_t* = 0; stan::require_eigen_t* = 0; stan::require_all_not_st_var* = 0; stan::require_all_not_complex_t::type>* = 0]’ 28 | return c * m; | ~~^~~ stanExports_stanmarg.h:3498:0: required from here 3498 | stan::math::multiply(stan::math::to_vector(clus_size_ns), N_between)), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/model_header.hpp:11, from stanExports_stanmarg.h:25: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/model_base_crtp.hpp: At global scope: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/model_base_crtp.hpp:159: warning: ‘stan::math::var stan::model::model_base_crtp::log_prob(std::vector, std::allocator > >&, std::vector&, std::ostream*) const [with M = model_stanmarg_namespace::model_stanmarg; stan::math::var = stan::math::var_value; std::ostream = std::basic_ostream]’ was hidden [-Woverloaded-virtual=] 159 | inline math::var log_prob(std::vector& theta, stanExports_stanmarg.h:22358: note: by ‘model_stanmarg_namespace::model_stanmarg::log_prob’ 22358 | log_prob(std::vector& params_r, std::vector& params_i, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/model_base_crtp.hpp:154: warning: ‘double stan::model::model_base_crtp::log_prob(std::vector&, std::vector&, std::ostream*) const [with M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ was hidden [-Woverloaded-virtual=] 154 | inline double log_prob(std::vector& theta, std::vector& theta_i, stanExports_stanmarg.h:22358: note: by ‘model_stanmarg_namespace::model_stanmarg::log_prob’ 22358 | log_prob(std::vector& params_r, std::vector& params_i, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/model_base_crtp.hpp:96: warning: ‘stan::math::var stan::model::model_base_crtp::log_prob(Eigen::Matrix, -1, 1>&, std::ostream*) const [with M = model_stanmarg_namespace::model_stanmarg; stan::math::var = stan::math::var_value; std::ostream = std::basic_ostream]’ was hidden [-Woverloaded-virtual=] 96 | inline math::var log_prob(Eigen::Matrix& theta, stanExports_stanmarg.h:22358: note: by ‘model_stanmarg_namespace::model_stanmarg::log_prob’ 22358 | log_prob(std::vector& params_r, std::vector& params_i, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/model_base_crtp.hpp:91: warning: ‘double stan::model::model_base_crtp::log_prob(Eigen::VectorXd&, std::ostream*) const [with M = model_stanmarg_namespace::model_stanmarg; Eigen::VectorXd = Eigen::Matrix; std::ostream = std::basic_ostream]’ was hidden [-Woverloaded-virtual=] 91 | inline double log_prob(Eigen::VectorXd& theta, stanExports_stanmarg.h:22358: note: by ‘model_stanmarg_namespace::model_stanmarg::log_prob’ 22358 | log_prob(std::vector& params_r, std::vector& params_i, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply.hpp:84:12: required from ‘auto stan::math::multiply(Scal, const Mat&) [with Scal = int; Mat = Eigen::Matrix; stan::require_stan_scalar_t* = 0; stan::require_eigen_t* = 0; stan::require_all_not_st_var* = 0; stan::require_all_not_complex_t::type>* = 0]’ 84 | return c * m; | ~~^~~ stanExports_stanmarg.h:14236:0: required from here 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:187:0: required from ‘auto stan::model::rvalue(Vec&&, const char*, index_min_max) [with Vec = const Eigen::Matrix&; stan::require_vector_t* = 0; stan::require_not_std_vector_t* = 0]’ 187 | return v.segment(slice_start, slice_size); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:697:0: required from ‘auto stan::model::rvalue(StdVec&, const char*, index_uni, const Idxs& ...) [with StdVec = const std::vector >; Idxs = {index_min_max}; stan::require_std_vector_t* = 0]’ 697 | return rvalue(v[idx1.n_ - 1], name, idxs...); stanExports_stanmarg.h:14394:0: required from here 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:376:0: required from ‘auto stan::model::rvalue(Mat&&, const char*, index_min_max, index_min_max) [with Mat = const Eigen::Matrix&; stan::require_dense_dynamic_t* = 0]’ 376 | return x.block(row_idx.min_ - 1, col_idx.min_ - 1, 377 | row_idx.max_ - (row_idx.min_ - 1), 378 | col_idx.max_ - (col_idx.min_ - 1)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:697:0: required from ‘auto stan::model::rvalue(StdVec&, const char*, index_uni, const Idxs& ...) [with StdVec = const std::vector >; Idxs = {index_min_max, index_min_max}; stan::require_std_vector_t* = 0]’ 697 | return rvalue(v[idx1.n_ - 1], name, idxs...); stanExports_stanmarg.h:14399:0: required from here 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:158:0: required from ‘stan::model::rvalue&>(const Eigen::Matrix&, const char*, const index_multi&):: [with auto:703 = const Eigen::Matrix]’ 158 | return plain_type_t::NullaryExpr( 159 | idx.ns_.size(), [name, &idx, &v_ref](Eigen::Index i) { 160 | math::check_range("vector[multi] indexing", name, v_ref.size(), 161 | idx.ns_[i]); 162 | return v_ref.coeff(idx.ns_[i] - 1); 163 | }); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::model::rvalue&>(const Eigen::Matrix&, const char*, const index_multi&)::; Args = {const Eigen::Matrix&}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:156:0: required from ‘auto stan::model::rvalue(EigVec&&, const char*, const index_multi&) [with EigVec = const Eigen::Matrix&; stan::require_eigen_vector_t* = 0]’ 156 | return stan::math::make_holder( 157 | [name, &idx](auto& v_ref) { 158 | return plain_type_t::NullaryExpr( 159 | idx.ns_.size(), [name, &idx, &v_ref](Eigen::Index i) { 160 | math::check_range("vector[multi] indexing", name, v_ref.size(), 161 | idx.ns_[i]); 162 | return v_ref.coeff(idx.ns_[i] - 1); 163 | }); 164 | }, 165 | stan::math::to_ref(v)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:697:0: required from ‘auto stan::model::rvalue(StdVec&, const char*, index_uni, const Idxs& ...) [with StdVec = const std::vector >; Idxs = {index_multi}; stan::require_std_vector_t* = 0]’ 697 | return rvalue(v[idx1.n_ - 1], name, idxs...); stanExports_stanmarg.h:14433:0: required from here 14433 | stan::model::rvalue(YXbarstar, 14434 | "YXbarstar", 14435 | stan::model::index_uni(mm), 14436 | stan::model::index_multi( 14437 | stan::model::rvalue(xdatidx, 14438 | "xdatidx", 14439 | stan::model::index_min_max(1, 14440 | stan::model::rvalue(Nx, "Nx", 14441 | stan::model::index_uni(mm)))))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, int>(const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const int&, stan::return_type_t, 0, Eigen::Stride<0, 0> >, int>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, int>(const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const int&, stan::return_type_t, 0, Eigen::Stride<0, 0> >, int>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, int>(const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const int&, stan::return_type_t, 0, Eigen::Stride<0, 0> >, int>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, 0, Eigen::Stride<0, 0> >, int>(const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const int&, stan::return_type_t, 0, Eigen::Stride<0, 0> >, int>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, 0, Eigen::Stride<0, 0> >, int>(const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const int&, stan::return_type_t, 0, Eigen::Stride<0, 0> >, int>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lb_constrain.hpp:102:18: required from ‘auto stan::math::lb_constrain(const T&, const L&, stan::return_type_t&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; L = int; stan::require_eigen_t* = 0; stan::require_stan_scalar_t* = 0; stan::require_all_not_st_var* = 0; stan::return_type_t = double]’ 102 | x.unaryExpr([lb, &lp](auto&& xx) { return lb_constrain(xx, lb, lp); })); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:386:0: required from ‘auto stan::io::deserializer::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix; bool Jacobian = false; LB = int; LP = double; Sizes = {int}; T = double]’ 386 | return stan::math::lb_constrain(this->read(sizes...), lb, lp); stanExports_stanmarg.h:14907:0: required from here 14906 | Theta_sd_free = in__.template read_constrain_lb< 14907 | Eigen::Matrix, jacobian__>(0, 14908 | lp__, Theta_sd_free_1dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, const int&>(Eigen::Map, 0, Eigen::Stride<0, 0> >&&, const int&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, const int&>(Eigen::Map, 0, Eigen::Stride<0, 0> >&&, const int&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, const int&>(Eigen::Map, 0, Eigen::Stride<0, 0> >&&, const int&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, 0, Eigen::Stride<0, 0> >, const int&>(Eigen::Map, 0, Eigen::Stride<0, 0> >&&, const int&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, 0, Eigen::Stride<0, 0> >, const int&>(Eigen::Map, 0, Eigen::Stride<0, 0> >&&, const int&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lb_constrain.hpp:83:26: required from ‘auto stan::math::lb_constrain(T&&, L&&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; L = const int&; stan::require_eigen_t* = 0; stan::require_stan_scalar_t* = 0; stan::require_all_not_st_var* = 0]’ 83 | return eval(x.unaryExpr([lb](auto&& x) { return lb_constrain(x, lb); })); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:388:0: required from ‘auto stan::io::deserializer::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix; bool Jacobian = false; LB = int; LP = double; Sizes = {int}; T = double]’ 388 | return stan::math::lb_constrain(this->read(sizes...), lb); stanExports_stanmarg.h:14907:0: required from here 14906 | Theta_sd_free = in__.template read_constrain_lb< 14907 | Eigen::Matrix, jacobian__>(0, 14908 | lp__, Theta_sd_free_1dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, int, int>(const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const int&, const int&, stan::return_type_t, 0, Eigen::Stride<0, 0> >, int, int>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, int, int>(const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const int&, const int&, stan::return_type_t, 0, Eigen::Stride<0, 0> >, int, int>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, int, int>(const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const int&, const int&, stan::return_type_t, 0, Eigen::Stride<0, 0> >, int, int>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, 0, Eigen::Stride<0, 0> >, int, int>(const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const int&, const int&, stan::return_type_t, 0, Eigen::Stride<0, 0> >, int, int>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, 0, Eigen::Stride<0, 0> >, int, int>(const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const int&, const int&, stan::return_type_t, 0, Eigen::Stride<0, 0> >, int, int>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lub_constrain.hpp:133:26: required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&, stan::return_type_t&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_eigen_t* = 0; stan::require_all_stan_scalar_t* = 0; stan::require_not_var_t::type>* = 0; stan::return_type_t = double]’ 133 | return eval(x.unaryExpr( | ~~~~~~~~~~~^ 134 | [lb, ub, &lp](auto&& xx) { return lub_constrain(xx, lb, ub, lp); })); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix; bool Jacobian = false; LB = int; UB = int; LP = double; Sizes = {int}; T = double]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:14914:0: required from here 14913 | Theta_r_free = in__.template read_constrain_lub< 14914 | Eigen::Matrix, jacobian__>(-1, 14915 | 1, lp__, Theta_r_free_1dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, int, int>(const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const int&, const int&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, int, int>(const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const int&, const int&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, int, int>(const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const int&, const int&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, 0, Eigen::Stride<0, 0> >, int, int>(const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const int&, const int&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, 0, Eigen::Stride<0, 0> >, int, int>(const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const int&, const int&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lub_constrain.hpp:122:18: required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_eigen_t* = 0; stan::require_all_stan_scalar_t* = 0; stan::require_not_var_t::type>* = 0]’ 122 | x.unaryExpr([ub, lb](auto&& xx) { return lub_constrain(xx, lb, ub); })); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:443:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix; bool Jacobian = false; LB = int; UB = int; LP = double; Sizes = {int}; T = double]’ 443 | return stan::math::lub_constrain(this->read(sizes...), lb, ub); stanExports_stanmarg.h:14914:0: required from here 14913 | Theta_r_free = in__.template read_constrain_lub< 14914 | Eigen::Matrix, jacobian__>(-1, 14915 | 1, lp__, Theta_r_free_1dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix; Mat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 + m2; | ~~~^~~~ stanExports_stanmarg.h:15441:0: required from here 15441 | stan::math::add( 15442 | stan::model::rvalue(T_r_lower, "T_r_lower", 15443 | stan::model::index_uni(g)), 15444 | stan::math::transpose( 15445 | stan::model::rvalue(T_r_lower, "T_r_lower", 15446 | stan::model::index_uni(g)))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13: required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >; Mat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 - m2; | ~~~^~~~ stanExports_stanmarg.h:15440:0: required from here 15440 | stan::math::subtract( 15441 | stan::math::add( 15442 | stan::model::rvalue(T_r_lower, "T_r_lower", 15443 | stan::model::index_uni(g)), 15444 | stan::math::transpose( 15445 | stan::model::rvalue(T_r_lower, "T_r_lower", 15446 | stan::model::index_uni(g)))), 15447 | stan::math::diag_matrix(stan::math::rep_vector(1, p))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13: required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Eigen::Map, 0, Eigen::Stride<0, 0> >; Mat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 - m2; | ~~~^~~~ stanExports_stanmarg.h:15654:0: required from here 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix; Mat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 + m2; | ~~~^~~~ stanExports_stanmarg.h:15695:0: required from here 15695 | stan::math::add( 15696 | stan::model::deep_copy( 15697 | stan::model::rvalue(Sigma, "Sigma", 15698 | stan::model::index_uni(g), 15699 | stan::model::index_min_max(1, p), 15700 | stan::model::index_min_max(1, p))), 15701 | stan::math::quad_form_sym( 15702 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15703 | stan::math::transpose( 15704 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15705 | stan::model::index_uni(g))))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:187:0: required from ‘auto stan::model::rvalue(Vec&&, const char*, index_min_max) [with Vec = Eigen::Matrix&; stan::require_vector_t* = 0; stan::require_not_std_vector_t* = 0]’ 187 | return v.segment(slice_start, slice_size); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:697:0: required from ‘auto stan::model::rvalue(StdVec&, const char*, index_uni, const Idxs& ...) [with StdVec = std::vector >; Idxs = {index_min_max}; stan::require_std_vector_t* = 0]’ 697 | return rvalue(v[idx1.n_ - 1], name, idxs...); stanExports_stanmarg.h:15715:0: required from here 15715 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(g), 15716 | stan::model::index_min_max(1, p))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply.hpp:107:13: required from ‘auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix; Mat2 = Eigen::VectorBlock, -1, 1, true>, -1>; stan::require_all_eigen_vt* = 0; stan::require_not_eigen_row_and_col_t* = 0]’ 107 | return m1 * m2; | ~~~^~~~ stanExports_stanmarg.h:15718:0: required from here 15718 | stan::math::multiply( 15719 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15720 | stan::model::index_uni(g)), 15721 | stan::model::rvalue(Alpha, "Alpha", 15722 | stan::model::index_uni(g), 15723 | stan::model::index_min_max(1, m), 15724 | stan::model::index_uni(1))))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix; Mat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 + m2; | ~~~^~~~ stanExports_stanmarg.h:17256:0: required from here 17256 | stan::math::add( 17257 | stan::model::deep_copy( 17258 | stan::model::rvalue(S_PW_rep_full, "S_PW_rep_full", 17259 | stan::model::index_uni(gg))), 17260 | stan::math::tcrossprod( 17261 | stan::math::to_matrix( 17262 | stan::math::subtract( 17263 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17264 | stan::model::index_uni(ii)), 17265 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17266 | stan::model::index_uni(clusidx)))))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix; Mat2 = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 + m2; | ~~~^~~~ stanExports_stanmarg.h:17272:0: required from here 17272 | stan::math::add( 17273 | stan::model::deep_copy( 17274 | stan::model::rvalue(S_B_rep, "S_B_rep", 17275 | stan::model::index_uni(gg))), 17276 | stan::math::multiply( 17277 | stan::model::rvalue(cluster_size, "cluster_size", 17278 | stan::model::index_uni(clusidx)), 17279 | stan::math::tcrossprod( 17280 | stan::math::to_matrix( 17281 | stan::math::subtract( 17282 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17283 | stan::model::index_uni(clusidx)), 17284 | stan::model::rvalue(ov_mean_rep, "ov_mean_rep", 17285 | stan::model::index_uni(gg))))))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:158:0: required from ‘stan::model::rvalue&>(Eigen::Matrix&, const char*, const index_multi&):: [with auto:703 = Eigen::Matrix]’ 158 | return plain_type_t::NullaryExpr( 159 | idx.ns_.size(), [name, &idx, &v_ref](Eigen::Index i) { 160 | math::check_range("vector[multi] indexing", name, v_ref.size(), 161 | idx.ns_[i]); 162 | return v_ref.coeff(idx.ns_[i] - 1); 163 | }); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::model::rvalue&>(Eigen::Matrix&, const char*, const index_multi&)::; Args = {Eigen::Matrix&}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:156:0: required from ‘auto stan::model::rvalue(EigVec&&, const char*, const index_multi&) [with EigVec = Eigen::Matrix&; stan::require_eigen_vector_t* = 0]’ 156 | return stan::math::make_holder( 157 | [name, &idx](auto& v_ref) { 158 | return plain_type_t::NullaryExpr( 159 | idx.ns_.size(), [name, &idx, &v_ref](Eigen::Index i) { 160 | math::check_range("vector[multi] indexing", name, v_ref.size(), 161 | idx.ns_[i]); 162 | return v_ref.coeff(idx.ns_[i] - 1); 163 | }); 164 | }, 165 | stan::math::to_ref(v)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:697:0: required from ‘auto stan::model::rvalue(StdVec&, const char*, index_uni, const Idxs& ...) [with StdVec = std::vector >; Idxs = {index_multi}; stan::require_std_vector_t* = 0]’ 697 | return rvalue(v[idx1.n_ - 1], name, idxs...); stanExports_stanmarg.h:17298:0: required from here 17298 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17299 | stan::model::index_uni(clusidx), 17300 | stan::model::index_multi( 17301 | stan::model::rvalue(between_idx, 17302 | "between_idx", 17303 | stan::model::index_min_max(1, N_between)))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13: required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; Mat2 = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 - m2; | ~~~^~~~ stanExports_stanmarg.h:17297:0: required from here 17297 | stan::math::subtract( 17298 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17299 | stan::model::index_uni(clusidx), 17300 | stan::model::index_multi( 17301 | stan::model::rvalue(between_idx, 17302 | "between_idx", 17303 | stan::model::index_min_max(1, N_between)))), 17304 | stan::model::rvalue(xbar_b_rep, "xbar_b_rep", 17305 | stan::model::index_uni(gg), 17306 | stan::model::index_multi( 17307 | stan::model::rvalue(between_idx, 17308 | "between_idx", 17309 | stan::model::index_min_max(1, N_between)))))))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13: required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix; Mat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 - m2; | ~~~^~~~ stanExports_stanmarg.h:17483:0: required from here 17483 | stan::math::subtract( 17484 | stan::model::rvalue(S_B_rep, "S_B_rep", 17485 | stan::model::index_uni(gg)), 17486 | stan::model::rvalue(S_PW_rep_full, "S_PW_rep_full", 17487 | stan::model::index_uni(gg)))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply.hpp:84:12: required from ‘auto stan::math::multiply(Scal, const Mat&) [with Scal = double; Mat = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; stan::require_stan_scalar_t* = 0; stan::require_eigen_t* = 0; stan::require_all_not_st_var* = 0; stan::require_all_not_complex_t::type>* = 0]’ 84 | return c * m; | ~~^~~ stanExports_stanmarg.h:17479:0: required from here 17479 | stan::math::multiply( 17480 | stan::math::pow( 17481 | stan::model::rvalue(gs, "gs", 17482 | stan::model::index_uni(gg)), -1), 17483 | stan::math::subtract( 17484 | stan::model::rvalue(S_B_rep, "S_B_rep", 17485 | stan::model::index_uni(gg)), 17486 | stan::model::rvalue(S_PW_rep_full, "S_PW_rep_full", 17487 | stan::model::index_uni(gg)))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:50: required from ‘stan::math::as_array_or_scalar, -1, 1, true>&>(const Eigen::Block, -1, 1, true>&):: [with auto:13 = const Eigen::Block, -1, 1, true>]’ 57 | return make_holder([](auto& x) { return x.array(); }, std::forward(v)); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar, -1, 1, true>&>(const Eigen::Block, -1, 1, true>&)::; Args = {const Eigen::Block, -1, 1, true>&}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:21: required from ‘auto stan::math::as_array_or_scalar(T&&) [with T = const Eigen::Block, -1, 1, true>&; = void; stan::require_not_eigen_array_t* = 0]’ 57 | return make_holder([](auto& x) { return x.array(); }, std::forward(v)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:29: required from ‘auto stan::math::divide(const T1&, const T2&) [with T1 = Eigen::Block, -1, 1, true>; T2 = int; stan::require_any_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 47 | return (as_array_or_scalar(m) / as_array_or_scalar(c)).matrix(); | ~~~~~~~~~~~~~~~~~~^~~ stanExports_stanmarg.h:17763:0: required from here 17763 | stan::math::divide( 17764 | stan::model::rvalue(satout, "satout", 17765 | stan::model::index_uni(g), 17766 | stan::model::index_omni(), 17767 | stan::model::index_uni(1)), 17768 | stan::model::rvalue(N, "N", stan::model::index_uni(g))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:33: required from ‘auto stan::math::divide(const T1&, const T2&) [with T1 = Eigen::Block, -1, 1, true>; T2 = int; stan::require_any_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 47 | return (as_array_or_scalar(m) / as_array_or_scalar(c)).matrix(); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:17763:0: required from here 17763 | stan::math::divide( 17764 | stan::model::rvalue(satout, "satout", 17765 | stan::model::index_uni(g), 17766 | stan::model::index_omni(), 17767 | stan::model::index_uni(1)), 17768 | stan::model::rvalue(N, "N", stan::model::index_uni(g))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:64: required from ‘auto stan::math::divide(const T1&, const T2&) [with T1 = Eigen::Block, -1, 1, true>; T2 = int; stan::require_any_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 47 | return (as_array_or_scalar(m) / as_array_or_scalar(c)).matrix(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:17763:0: required from here 17763 | stan::math::divide( 17764 | stan::model::rvalue(satout, "satout", 17765 | stan::model::index_uni(g), 17766 | stan::model::index_omni(), 17767 | stan::model::index_uni(1)), 17768 | stan::model::rvalue(N, "N", stan::model::index_uni(g))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:661:0: required from ‘auto stan::model::rvalue(Mat&&, const char*, const Idx&, index_min_max) [with Mat = Eigen::Matrix&; Idx = index_omni; stan::require_dense_dynamic_t* = 0]’ 661 | return rvalue(x.middleCols(col_start, col_idx.max_ - col_start), name, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:697:0: required from ‘auto stan::model::rvalue(StdVec&, const char*, index_uni, const Idxs& ...) [with StdVec = std::vector >; Idxs = {index_omni, index_min_max}; stan::require_std_vector_t* = 0]’ 697 | return rvalue(v[idx1.n_ - 1], name, idxs...); stanExports_stanmarg.h:17774:0: required from here 17774 | stan::model::rvalue(satout, "satout", 17775 | stan::model::index_uni(g), 17776 | stan::model::index_omni(), 17777 | stan::model::index_min_max(2, ((p + q) + 1))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1, true> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1, true> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:50: required from ‘stan::math::as_array_or_scalar, -1, -1, true>&>(const Eigen::Block, -1, -1, true>&):: [with auto:13 = const Eigen::Block, -1, -1, true>]’ 57 | return make_holder([](auto& x) { return x.array(); }, std::forward(v)); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar, -1, -1, true>&>(const Eigen::Block, -1, -1, true>&)::; Args = {const Eigen::Block, -1, -1, true>&}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:21: required from ‘auto stan::math::as_array_or_scalar(T&&) [with T = const Eigen::Block, -1, -1, true>&; = void; stan::require_not_eigen_array_t* = 0]’ 57 | return make_holder([](auto& x) { return x.array(); }, std::forward(v)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:29: required from ‘auto stan::math::divide(const T1&, const T2&) [with T1 = Eigen::Block, -1, -1, true>; T2 = int; stan::require_any_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 47 | return (as_array_or_scalar(m) / as_array_or_scalar(c)).matrix(); | ~~~~~~~~~~~~~~~~~~^~~ stanExports_stanmarg.h:17773:0: required from here 17773 | stan::math::divide( 17774 | stan::model::rvalue(satout, "satout", 17775 | stan::model::index_uni(g), 17776 | stan::model::index_omni(), 17777 | stan::model::index_min_max(2, ((p + q) + 1))), 17778 | stan::model::rvalue(N, "N", 17779 | stan::model::index_uni(g))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, -1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, -1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, -1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, -1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:33: required from ‘auto stan::math::divide(const T1&, const T2&) [with T1 = Eigen::Block, -1, -1, true>; T2 = int; stan::require_any_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 47 | return (as_array_or_scalar(m) / as_array_or_scalar(c)).matrix(); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:17773:0: required from here 17773 | stan::math::divide( 17774 | stan::model::rvalue(satout, "satout", 17775 | stan::model::index_uni(g), 17776 | stan::model::index_omni(), 17777 | stan::model::index_min_max(2, ((p + q) + 1))), 17778 | stan::model::rvalue(N, "N", 17779 | stan::model::index_uni(g))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, -1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, -1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, -1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, -1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:64: required from ‘auto stan::math::divide(const T1&, const T2&) [with T1 = Eigen::Block, -1, -1, true>; T2 = int; stan::require_any_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 47 | return (as_array_or_scalar(m) / as_array_or_scalar(c)).matrix(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:17773:0: required from here 17773 | stan::math::divide( 17774 | stan::model::rvalue(satout, "satout", 17775 | stan::model::index_uni(g), 17776 | stan::model::index_omni(), 17777 | stan::model::index_min_max(2, ((p + q) + 1))), 17778 | stan::model::rvalue(N, "N", 17779 | stan::model::index_uni(g))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/transpose.hpp:18:21: required from ‘auto stan::math::transpose(const T&) [with T = Eigen::Matrix; stan::require_matrix_t* = 0]’ 18 | return m.transpose(); | ~~~~~~~~~~~^~ stanExports_stanmarg.h:17783:0: required from here 17783 | stan::math::transpose( 17784 | stan::model::rvalue(Mu_sat, "Mu_sat", 17785 | stan::model::index_uni(g))))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply.hpp:107:13: required from ‘auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix; Mat2 = Eigen::Transpose >; stan::require_all_eigen_vt* = 0; stan::require_not_eigen_row_and_col_t* = 0]’ 107 | return m1 * m2; | ~~~^~~~ stanExports_stanmarg.h:17780:0: required from here 17780 | stan::math::multiply( 17781 | stan::model::rvalue(Mu_sat, "Mu_sat", 17782 | stan::model::index_uni(g)), 17783 | stan::math::transpose( 17784 | stan::model::rvalue(Mu_sat, "Mu_sat", 17785 | stan::model::index_uni(g))))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, -1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::Product, Eigen::Transpose >, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, -1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::Product, Eigen::Transpose >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, -1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::Product, Eigen::Transpose >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, -1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, -1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::Product, Eigen::Transpose >, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13: required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, -1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Mat2 = Eigen::Product, Eigen::Transpose >, 0>; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 - m2; | ~~~^~~~ stanExports_stanmarg.h:17772:0: required from here 17772 | stan::math::subtract( 17773 | stan::math::divide( 17774 | stan::model::rvalue(satout, "satout", 17775 | stan::model::index_uni(g), 17776 | stan::model::index_omni(), 17777 | stan::model::index_min_max(2, ((p + q) + 1))), 17778 | stan::model::rvalue(N, "N", 17779 | stan::model::index_uni(g))), 17780 | stan::math::multiply( 17781 | stan::model::rvalue(Mu_sat, "Mu_sat", 17782 | stan::model::index_uni(g)), 17783 | stan::math::transpose( 17784 | stan::model::rvalue(Mu_sat, "Mu_sat", 17785 | stan::model::index_uni(g))))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/transpose.hpp:18:21: required from ‘auto stan::math::transpose(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; stan::require_matrix_t* = 0]’ 18 | return m.transpose(); | ~~~~~~~~~~~^~ stanExports_stanmarg.h:17906:0: required from here 17906 | stan::math::transpose( 17907 | stan::math::subtract( 17908 | stan::model::rvalue(YXstar, "YXstar", 17909 | stan::model::index_uni(jj)), 17910 | stan::model::rvalue(Mu_sat, "Mu_sat", 17911 | stan::model::index_uni(grpidx)))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:33: required from ‘auto stan::math::divide(const T1&, const T2&) [with T1 = Eigen::Matrix; T2 = int; stan::require_any_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 47 | return (as_array_or_scalar(m) / as_array_or_scalar(c)).matrix(); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:17927:0: required from here 17927 | stan::math::divide(stan::math::crossprod(YXsmat), 17928 | stan::model::rvalue(N, "N", 17929 | stan::model::index_uni(grpidx))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:64: required from ‘auto stan::math::divide(const T1&, const T2&) [with T1 = Eigen::Matrix; T2 = int; stan::require_any_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 47 | return (as_array_or_scalar(m) / as_array_or_scalar(c)).matrix(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:17927:0: required from here 17927 | stan::math::divide(stan::math::crossprod(YXsmat), 17928 | stan::model::rvalue(N, "N", 17929 | stan::model::index_uni(grpidx))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:187:0: required from ‘auto stan::model::rvalue(Vec&&, const char*, index_min_max) [with Vec = const Eigen::Map, 0, Eigen::Stride<0, 0> >&; stan::require_vector_t* = 0; stan::require_not_std_vector_t* = 0]’ 187 | return v.segment(slice_start, slice_size); stanExports_stanmarg.h:18109:0: required from here 18109 | stan::model::rvalue(log_lik_x_full, "log_lik_x_full", 18110 | stan::model::index_min_max(r1, r2))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13: required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix; Mat2 = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 - m2; | ~~~^~~~ stanExports_stanmarg.h:18105:0: required from here 18105 | stan::math::subtract( 18106 | stan::model::deep_copy( 18107 | stan::model::rvalue(log_lik, "log_lik", 18108 | stan::model::index_min_max(r1, r2))), 18109 | stan::model::rvalue(log_lik_x_full, "log_lik_x_full", 18110 | stan::model::index_min_max(r1, r2))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13: required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix; Mat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 - m2; | ~~~^~~~ stanExports_stanmarg.h:18596:0: required from here 18596 | stan::math::subtract( 18597 | stan::model::deep_copy( 18598 | stan::model::rvalue(log_lik_rep, "log_lik_rep", 18599 | stan::model::index_min_max(rr1, rr2))), 18600 | stan::model::rvalue(log_lik_x_rep, "log_lik_x_rep", 18601 | stan::model::index_min_max(rr1, rr2))), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:35: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:11: required from ‘T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 28 | ArrayAT a_array = as_array_or_scalar(a); | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from ‘auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 123 | return internal::hypergeometric_3F2_infsum(a, b, z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from ‘auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]’ 148 | return hypergeometric_3F2(std::vector(a), std::vector(b), z); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:0: required from here 77 | + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w)) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:11: required from ‘T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 28 | ArrayAT a_array = as_array_or_scalar(a); | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from ‘auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 123 | return internal::hypergeometric_3F2_infsum(a, b, z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from ‘auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]’ 148 | return hypergeometric_3F2(std::vector(a), std::vector(b), z); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:0: required from here 77 | + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w)) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar&>(const std::vector&)::; Args = {const std::vector >&}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:72:21: required from ‘auto stan::math::as_array_or_scalar(T&&) [with T = const std::vector&; stan::require_std_vector_t* = 0; stan::require_not_std_vector_t::type>* = 0]’ 72 | return make_holder([](auto& x) { return T_map(x.data(), x.size()); }, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 73 | std::forward(v)); | ~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:39: required from ‘T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 28 | ArrayAT a_array = as_array_or_scalar(a); | ~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from ‘auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 123 | return internal::hypergeometric_3F2_infsum(a, b, z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from ‘auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]’ 148 | return hypergeometric_3F2(std::vector(a), std::vector(b), z); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:0: required from here 77 | + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w)) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:43: required from ‘T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 47 | const auto& abs_apk = math::fabs((apk == 0).select(1.0, apk)); | ~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from ‘auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 123 | return internal::hypergeometric_3F2_infsum(a, b, z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from ‘auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]’ 148 | return hypergeometric_3F2(std::vector(a), std::vector(b), z); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:0: required from here 77 | + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w)) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >’ 52 | class Select : public internal::dense_xpr_base< Select >::type, | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:55: required from ‘T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 47 | const auto& abs_apk = math::fabs((apk == 0).select(1.0, apk)); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from ‘auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 123 | return internal::hypergeometric_3F2_infsum(a, b, z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from ‘auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]’ 148 | return hypergeometric_3F2(std::vector(a), std::vector(b), z); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:0: required from here 77 | + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w)) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/fabs.hpp:67:50: required from ‘stan::math::fabs, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >(const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >&):: [with auto:9 = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >]’ 67 | x, [](const auto& v) { return v.array().abs(); }); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: required from ‘static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::fabs, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >(const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >&)::; T2 = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >; stan::require_t::type> >* = 0; T = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >]’ 53 | return make_holder([](const auto& a) { return a.array().derived(); }, f(x)); | ~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/fabs.hpp:66:46: required from ‘auto stan::math::fabs(const Container&) [with Container = Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array >; stan::require_container_st* = 0]’ 66 | return apply_vector_unary::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 67 | x, [](const auto& v) { return v.array().abs(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:37: required from ‘T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 47 | const auto& abs_apk = math::fabs((apk == 0).select(1.0, apk)); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from ‘auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 123 | return internal::hypergeometric_3F2_infsum(a, b, z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from ‘auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]’ 148 | return hypergeometric_3F2(std::vector(a), std::vector(b), z); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:0: required from here 77 | + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w)) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log.hpp:66:50: required from ‘stan::math::log, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >(const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >&):: [with auto:169 = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >]’ 66 | x, [](const auto& v) { return v.array().log(); }); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: required from ‘static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > > >(const Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >&)::; T2 = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >; stan::require_t::type> >* = 0; T = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >]’ 53 | return make_holder([](const auto& a) { return a.array().derived(); }, f(x)); | ~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from ‘auto stan::math::log(const Container&) [with Container = Eigen::CwiseUnaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Array > >; stan::require_container_st* = 0]’ 65 | return apply_vector_unary::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 66 | x, [](const auto& v) { return v.array().log(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:49:25: required from ‘T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 49 | T_return p = sum(log(abs_apk)) - sum(log(abs_bpk)); | ~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from ‘auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 123 | return internal::hypergeometric_3F2_infsum(a, b, z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from ‘auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]’ 148 | return hypergeometric_3F2(std::vector(a), std::vector(b), z); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:0: required from here 77 | + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w)) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:75: required from ‘stan::return_type_t stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t* = 0; stan::return_type_t = double]’ 58 | return result + sum(lgamma(x + (1 - Eigen::ArrayXd::LinSpaced(k, 1, k)) / 2)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:0: required from here 16 | : op_dv_vari(lmgamma(a, bvi->val_), a, bvi) {} /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:32: required from ‘stan::return_type_t stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t* = 0; stan::return_type_t = double]’ 58 | return result + sum(lgamma(x + (1 - Eigen::ArrayXd::LinSpaced(k, 1, k)) / 2)); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:0: required from here 16 | : op_dv_vari(lmgamma(a, bvi->val_), a, bvi) {} /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from ‘static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >]’ 62 | return x.unaryExpr([](auto&& x) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~ 63 | return apply_scalar_unary>::apply(x); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | }); | ~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: required from ‘struct stan::math::apply_scalar_unary, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>’ 72 | apply_scalar_unary::apply(std::declval()))>; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lgamma.hpp:120:50: required from ‘auto stan::math::lgamma(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_not_var_matrix_t* = 0; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t* = 0]’ 120 | return apply_scalar_unary::apply(x); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:29: required from ‘stan::return_type_t stan::math::lmgamma(int, T) [with T = double; stan::require_arithmetic_t* = 0; stan::return_type_t = double]’ 58 | return result + sum(lgamma(x + (1 - Eigen::ArrayXd::LinSpaced(k, 1, k)) / 2)); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:0: required from here 16 | : op_dv_vari(lmgamma(a, bvi->val_), a, bvi) {} /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:0: required from here 28 | double variance = diff.squaredNorm() / size_m1; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from ‘Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Scalar = double]’ 27 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::add_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:0: required from here 280 | L_chol_.array() += scalar; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from ‘Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Scalar = double]’ 27 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::add_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:0: required from here 280 | L_chol_.array() += scalar; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of ‘std::vector stan::io::array_var_context::validate_dims(const std::vector >&, T, const std::vector >&) [with T = long unsigned int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/array_var_context.hpp:97:0: required from here 97 | std::vector dim_vec = validate_dims(names, values.size(), dims); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/array_var_context.hpp:74: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 74 | for (int i = 0; i < dims.size(); i++) { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of ‘std::vector stan::io::array_var_context::validate_dims(const std::vector >&, T, const std::vector >&) [with T = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/array_var_context.hpp:118:0: required from here 118 | std::vector dim_vec = validate_dims(names, values.size(), dims); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/array_var_context.hpp:74: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 74 | for (int i = 0; i < dims.size(); i++) { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&)::::, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&)::::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&)::::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&)::::, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&)::::, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/value_of_rec.hpp:110:27: required from ‘stan::math::value_of_rec, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&):: [with auto:1 = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 110 | return m.unaryExpr([](auto x) { return value_of_rec(x); }); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::value_of_rec, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&)::; Args = {Eigen::Map, 0, Eigen::Stride<0, 0> >}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/value_of_rec.hpp:108:21: required from ‘auto stan::math::value_of_rec(T&&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; = void; = void]’ 108 | return make_holder( | ~~~~~~~~~~~^ 109 | [](auto& m) { | ~~~~~~~~~~~~~ 110 | return m.unaryExpr([](auto x) { return value_of_rec(x); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | }, | ~~ 112 | std::forward(M)); | ~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_greater_or_equal.hpp:157:30: required from ‘void stan::math::check_greater_or_equal(const char*, const char*, const T_y&, const T_low&, Idxs ...) [with T_y = std::vector; T_low = int; stan::require_vector_t* = 0; stan::require_not_std_vector_vt* = 0; stan::require_stan_scalar_t* = 0; Idxs = {}]’ 157 | auto&& y_arr = value_of_rec(as_array_or_scalar(to_ref(y))); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:5523:0: required from here 5523 | stan::math::check_greater_or_equal(function__, "N", N, 1); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tanh.hpp:59:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tanh.hpp:58:46: required from ‘auto stan::math::tanh(const Container&) [with Container = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_container_st* = 0]’ 58 | return apply_vector_unary::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 59 | x, [](const auto& v) { return v.array().tanh(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_constrain.hpp:47:34: required from ‘auto stan::math::corr_constrain(const T_x&, T_lp&) [with T_x = Eigen::Map, 0, Eigen::Stride<0, 0> >; T_lp = double]’ 47 | plain_type_t tanh_x = tanh(x); | ~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_constrain.hpp:74:41: required from ‘Eigen::Matrix::type, -1, -1> stan::math::corr_matrix_constrain(const T&, Eigen::Index, stan::return_type_t&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t* = 0; typename stan::value_type::type = double; Eigen::Index = long int; stan::return_type_t = double]’ 74 | return read_corr_matrix(corr_constrain(x, lp), k, lp); | ~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:945:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix; bool Jacobian = false; LP = double; stan::require_not_std_vector_t* = 0; stan::require_matrix_t* = 0; T = double; Eigen::Index = long int]’ 945 | return corr_matrix_constrain( 946 | this->read>((k * (k - 1)) / 2), 947 | k, lp); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t* = 0; T = double; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:14930:0: required from here 14928 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 14929 | std::vector>, 14930 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 14931 | Psi_r_mat_1_3dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tanh.hpp:59:51: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tanh.hpp:58:46: required from ‘auto stan::math::tanh(const Container&) [with Container = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_container_st* = 0]’ 58 | return apply_vector_unary::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 59 | x, [](const auto& v) { return v.array().tanh(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_constrain.hpp:47:34: required from ‘auto stan::math::corr_constrain(const T_x&, T_lp&) [with T_x = Eigen::Map, 0, Eigen::Stride<0, 0> >; T_lp = double]’ 47 | plain_type_t tanh_x = tanh(x); | ~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_constrain.hpp:74:41: required from ‘Eigen::Matrix::type, -1, -1> stan::math::corr_matrix_constrain(const T&, Eigen::Index, stan::return_type_t&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t* = 0; typename stan::value_type::type = double; Eigen::Index = long int; stan::return_type_t = double]’ 74 | return read_corr_matrix(corr_constrain(x, lp), k, lp); | ~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:945:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix; bool Jacobian = false; LP = double; stan::require_not_std_vector_t* = 0; stan::require_matrix_t* = 0; T = double; Eigen::Index = long int]’ 945 | return corr_matrix_constrain( 946 | this->read>((k * (k - 1)) / 2), 947 | k, lp); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t* = 0; T = double; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:14930:0: required from here 14928 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 14929 | std::vector>, 14930 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 14931 | Psi_r_mat_1_3dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:59: required from ‘stan::math::apply_vector_unary, 0, Eigen::Stride<0, 0> >, void>::apply, 0, Eigen::Stride<0, 0> > >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&):: >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const stan::math::tanh, 0, Eigen::Stride<0, 0> > >(const Eigen::Map, 0, Eigen::Stride<0, 0> >&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >]’ 46 | return make_holder([](const auto& a) { return a.matrix().derived(); }, | ~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tanh.hpp:58:46: required from ‘auto stan::math::tanh(const Container&) [with Container = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_container_st* = 0]’ 58 | return apply_vector_unary::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 59 | x, [](const auto& v) { return v.array().tanh(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_constrain.hpp:47:34: required from ‘auto stan::math::corr_constrain(const T_x&, T_lp&) [with T_x = Eigen::Map, 0, Eigen::Stride<0, 0> >; T_lp = double]’ 47 | plain_type_t tanh_x = tanh(x); | ~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_constrain.hpp:74:41: required from ‘Eigen::Matrix::type, -1, -1> stan::math::corr_matrix_constrain(const T&, Eigen::Index, stan::return_type_t&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t* = 0; typename stan::value_type::type = double; Eigen::Index = long int; stan::return_type_t = double]’ 74 | return read_corr_matrix(corr_constrain(x, lp), k, lp); | ~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:945:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix; bool Jacobian = false; LP = double; stan::require_not_std_vector_t* = 0; stan::require_matrix_t* = 0; T = double; Eigen::Index = long int]’ 945 | return corr_matrix_constrain( 946 | this->read>((k * (k - 1)) / 2), 947 | k, lp); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t* = 0; T = double; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:14930:0: required from here 14928 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 14929 | std::vector>, 14930 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 14931 | Psi_r_mat_1_3dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:59: required from ‘stan::math::apply_vector_unary, void>::apply >(const Eigen::Matrix&):: >(const Eigen::Matrix&, const stan::math::square >(const Eigen::Matrix&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >]’ 46 | return make_holder([](const auto& a) { return a.matrix().derived(); }, | ~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/square.hpp:69:46: required from ‘auto stan::math::square(const Container&) [with Container = Eigen::Matrix; stan::require_container_st* = 0]’ 69 | return apply_vector_unary::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 70 | x, [](const auto& v) { return v.array().square(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_constrain.hpp:48:25: required from ‘auto stan::math::corr_constrain(const T_x&, T_lp&) [with T_x = Eigen::Map, 0, Eigen::Stride<0, 0> >; T_lp = double]’ 48 | lp += sum(log1m(square(tanh_x))); | ~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_constrain.hpp:74:41: required from ‘Eigen::Matrix::type, -1, -1> stan::math::corr_matrix_constrain(const T&, Eigen::Index, stan::return_type_t&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t* = 0; typename stan::value_type::type = double; Eigen::Index = long int; stan::return_type_t = double]’ 74 | return read_corr_matrix(corr_constrain(x, lp), k, lp); | ~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:945:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix; bool Jacobian = false; LP = double; stan::require_not_std_vector_t* = 0; stan::require_matrix_t* = 0; T = double; Eigen::Index = long int]’ 945 | return corr_matrix_constrain( 946 | this->read>((k * (k - 1)) / 2), 947 | k, lp); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t* = 0; T = double; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:14930:0: required from here 14928 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 14929 | std::vector>, 14930 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 14931 | Psi_r_mat_1_3dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, void>::apply(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >&)::, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >, void>::apply(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >&)::, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > >, void>::apply(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >&)::, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper > > >, void>::apply(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >&)::, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, void>::apply(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >&)::, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log1m.hpp:74:49: required from ‘auto stan::math::log1m(const T&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >; stan::require_not_var_matrix_t* = 0; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0]’ 74 | return apply_scalar_unary::apply(x); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_constrain.hpp:48:18: required from ‘auto stan::math::corr_constrain(const T_x&, T_lp&) [with T_x = Eigen::Map, 0, Eigen::Stride<0, 0> >; T_lp = double]’ 48 | lp += sum(log1m(square(tanh_x))); | ~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_constrain.hpp:74:41: required from ‘Eigen::Matrix::type, -1, -1> stan::math::corr_matrix_constrain(const T&, Eigen::Index, stan::return_type_t&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t* = 0; typename stan::value_type::type = double; Eigen::Index = long int; stan::return_type_t = double]’ 74 | return read_corr_matrix(corr_constrain(x, lp), k, lp); | ~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:945:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix; bool Jacobian = false; LP = double; stan::require_not_std_vector_t* = 0; stan::require_matrix_t* = 0; T = double; Eigen::Index = long int]’ 945 | return corr_matrix_constrain( 946 | this->read>((k * (k - 1)) / 2), 947 | k, lp); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t* = 0; T = double; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:14930:0: required from here 14928 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 14929 | std::vector>, 14930 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 14931 | Psi_r_mat_1_3dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:35: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:17927:0: required from here 17927 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:17927:0: required from here 17927 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ stanExports_stanmarg.h: In instantiation of ‘void model_stanmarg_namespace::model_stanmarg::unconstrain_array_impl(const VecVar&, const VecI&, VecVar&, std::ostream*) const [with VecVar = std::vector; VecI = std::vector; stan::require_vector_t* = 0; stan::require_vector_like_vt* = 0; std::ostream = std::basic_ostream]’: stanExports_stanmarg.h:22386:0: required from here 22386 | unconstrain_array_impl(params_constrained, params_i, 22387 | params_unconstrained, pstream); stanExports_stanmarg.h:19222: warning: variable ‘pos__’ set but not used [-Wunused-but-set-variable] 19222 | int pos__ = std::numeric_limits::min(); stanExports_stanmarg.h: In instantiation of ‘void model_stanmarg_namespace::model_stanmarg::unconstrain_array_impl(const VecVar&, const VecI&, VecVar&, std::ostream*) const [with VecVar = Eigen::Matrix; VecI = std::vector; stan::require_vector_t* = 0; stan::require_vector_like_vt* = 0; std::ostream = std::basic_ostream]’: stanExports_stanmarg.h:22396:0: required from here 22396 | unconstrain_array_impl(params_constrained, params_i, 22397 | params_unconstrained, pstream); stanExports_stanmarg.h:19222: warning: variable ‘pos__’ set but not used [-Wunused-but-set-variable] 19222 | int pos__ = std::numeric_limits::min(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp: In instantiation of ‘SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’: stanExports_stanmarg.cc:30:0: required from here 30 | .method("standalone_gqs", &rstan::stan_fit ::standalone_gqs) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1252: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 1252 | int ret = stan::services::error_codes::CONFIG; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:181:31: required from ‘stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]’ 181 | Eigen::Matrix a_args(2); | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]’ 190 | auto hyper1 = hypergeometric_2F1(a1_euler, a2_euler, b1, z_euler); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]’ 306 | return internal::grad_2F1_impl(a1, a2, b1, z, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ 307 | precision, max_steps); | ~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here 37 | = grad_2F1(a + b, 1.0, a + 1, z); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:181:31: required from ‘stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]’ 181 | Eigen::Matrix a_args(2); | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]’ 190 | auto hyper1 = hypergeometric_2F1(a1_euler, a2_euler, b1, z_euler); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]’ 306 | return internal::grad_2F1_impl(a1, a2, b1, z, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ 307 | precision, max_steps); | ~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here 37 | = grad_2F1(a + b, 1.0, a + 1, z); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:182:31: required from ‘stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]’ 182 | Eigen::Matrix b_args(1); | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]’ 190 | auto hyper1 = hypergeometric_2F1(a1_euler, a2_euler, b1, z_euler); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]’ 306 | return internal::grad_2F1_impl(a1, a2, b1, z, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ 307 | precision, max_steps); | ~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here 37 | = grad_2F1(a + b, 1.0, a + 1, z); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:117:39: required from ‘TupleT stan::math::internal::grad_2F1_impl_ab(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]’ 117 | inner_diff = g_current.array().abs().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:204:78: required from ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]’ 204 | grad_tuple_ab = grad_2F1_impl_ab( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 205 | a1_euler, a2_euler, b1, z_euler); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]’ 306 | return internal::grad_2F1_impl(a1, a2, b1, z, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ 307 | precision, max_steps); | ~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here 37 | = grad_2F1(a + b, 1.0, a + 1, z); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::CastXpr::Type Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::cast() const [with NewType = double]’ 62 | cast() const | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t >* = 0; stan::require_stan_scalar_t* = 0; typename stan::return_type::type = double]’ 102 | result << A.template cast(), B; | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31: required from ‘T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 29 | ArrayBT b_array = append_row(as_array_or_scalar(b), 1.0); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from ‘auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 123 | return internal::hypergeometric_3F2_infsum(a, b, z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from ‘auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]’ 148 | return hypergeometric_3F2(std::vector(a), std::vector(b), z); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:0: required from here 77 | + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w)) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:5, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_2F1_converges.hpp:5, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err.hpp:4, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim.hpp:12: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from ‘void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]’ 28 | elementwise_check([](double x) { return !std::isnan(x); }, function, name, y, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | "not nan"); | ~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:47:0: required from here 47 | stan::math::check_not_nan(function, "Mean vector", mu); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase >::Index’ {aka ‘long int’} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)(((!(Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit)) && (! T::IsVectorAtCompileTime)) && (!(Eigen::internal::traits<_Rhs>::Flags & Eigen::RowMajorBit))))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from ‘void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]’ 28 | elementwise_check([](double x) { return !std::isnan(x); }, function, name, y, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | "not nan"); | ~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:74:0: required from here 74 | stan::math::check_not_nan(function, "Cholesky factor", L_chol); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:207:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::Index’ {aka ‘long int’} [-Wsign-compare] 207 | for (size_t i = 0; i < x.rows(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:208:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::Index’ {aka ‘long int’} [-Wsign-compare] 208 | for (size_t j = 0; j < x.cols(); j++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from ‘void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]’ 29 | elementwise_check([](double x) { return std::isfinite(x); }, function, name, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 30 | y, "finite"); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:21:0: required from here 21 | stan::math::check_finite("check_finite", "inv_metric", inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase >::Index’ {aka ‘long int’} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20: required from ‘void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]’ 29 | elementwise_check([](double x) { return x > 0; }, function, name, y, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 30 | "positive"); | ~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:22:0: required from here 22 | stan::math::check_positive("check_positive", "inv_metric", inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase >::Index’ {aka ‘long int’} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:142:28: required from ‘bool Eigen::DenseBase::hasNaN() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ 142 | return !((derived().array()==derived().array()).all()); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:40: required from ‘bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]’ 156 | return !((derived()-derived()).hasNaN()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:31:0: required from here 31 | if (!covar.allFinite()) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:142:28: required from ‘bool Eigen::DenseBase::hasNaN() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ 142 | return !((derived().array()==derived().array()).all()); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:40: required from ‘bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]’ 156 | return !((derived()-derived()).hasNaN()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:30:0: required from here 30 | if (!var.allFinite()) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta.hpp:70, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/invalid_argument.hpp:4, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/core/init_threadpool_tbb.hpp:4, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/core.hpp:4, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim.hpp:10: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp: In instantiation of ‘void stan::math::check_less_or_equal(const char*, const char*, const T_y&, const T_high&, Idxs ...) [with T_y = long unsigned int; T_high = long int; stan::require_all_stan_scalar_t* = 0; Idxs = {}]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/array_var_context.hpp:79:0: required from ‘std::vector stan::io::array_var_context::validate_dims(const std::vector >&, T, const std::vector >&) [with T = long int]’ 79 | stan::math::check_less_or_equal("validate_dims", "array_var_context", 80 | elem_dims_total[dims.size()], array_size); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/array_var_context.hpp:118:0: required from here 118 | std::vector dim_vec = validate_dims(names, values.size(), dims); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp:39:20: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const long int’ [-Wsign-compare] 39 | if (unlikely(!(y <= high))) { | ~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/compiler_attributes.hpp:9:41: note: in definition of macro ‘unlikely’ 9 | #define unlikely(x) __builtin_expect(!!(x), 0) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/subtract.hpp:79:21: required from ‘auto stan::math::subtract(const Mat&, Scal) [with Mat = Eigen::Matrix; Scal = int; stan::require_eigen_t* = 0; stan::require_stan_scalar_t* = 0; stan::require_all_not_st_var* = 0]’ 79 | return (m.array() - c).matrix(); | ~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lb_free.hpp:37:29: required from ‘auto stan::math::lb_free(T&&, L&&) [with T = const Eigen::Matrix&; L = const int&; stan::require_not_std_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 37 | return eval(log(subtract(std::forward(y_ref), | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | std::forward(lb_ref)))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:253:0: required from ‘void stan::io::serializer::write_free_lb(const L&, const S&) [with S = Eigen::Matrix; L = int; T = double]’ 253 | this->write(stan::math::lb_free(x, lb)); stanExports_stanmarg.h:19761:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19761 | out__.write_free_lb(0, Theta_sd_free); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/subtract.hpp:79:32: required from ‘auto stan::math::subtract(const Mat&, Scal) [with Mat = Eigen::Matrix; Scal = int; stan::require_eigen_t* = 0; stan::require_stan_scalar_t* = 0; stan::require_all_not_st_var* = 0]’ 79 | return (m.array() - c).matrix(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lb_free.hpp:37:29: required from ‘auto stan::math::lb_free(T&&, L&&) [with T = const Eigen::Matrix&; L = const int&; stan::require_not_std_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 37 | return eval(log(subtract(std::forward(y_ref), | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | std::forward(lb_ref)))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:253:0: required from ‘void stan::io::serializer::write_free_lb(const L&, const S&) [with S = Eigen::Matrix; L = int; T = double]’ 253 | this->write(stan::math::lb_free(x, lb)); stanExports_stanmarg.h:19761:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19761 | out__.write_free_lb(0, Theta_sd_free); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log.hpp:66:44: required from ‘stan::math::log, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&):: [with auto:169 = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >]’ 66 | x, [](const auto& v) { return v.array().log(); }); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from ‘static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::; T2 = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_t::type> >* = 0; T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >]’ 47 | f(x)); | ~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from ‘auto stan::math::log(const Container&) [with Container = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_container_st* = 0]’ 65 | return apply_vector_unary::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 66 | x, [](const auto& v) { return v.array().log(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lb_free.hpp:37:20: required from ‘auto stan::math::lb_free(T&&, L&&) [with T = const Eigen::Matrix&; L = const int&; stan::require_not_std_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 37 | return eval(log(subtract(std::forward(y_ref), | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | std::forward(lb_ref)))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:253:0: required from ‘void stan::io::serializer::write_free_lb(const L&, const S&) [with S = Eigen::Matrix; L = int; T = double]’ 253 | this->write(stan::math::lb_free(x, lb)); stanExports_stanmarg.h:19761:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19761 | out__.write_free_lb(0, Theta_sd_free); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log.hpp:66:50: required from ‘stan::math::log, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&):: [with auto:169 = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >]’ 66 | x, [](const auto& v) { return v.array().log(); }); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from ‘static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::; T2 = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_t::type> >* = 0; T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >]’ 47 | f(x)); | ~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from ‘auto stan::math::log(const Container&) [with Container = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_container_st* = 0]’ 65 | return apply_vector_unary::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 66 | x, [](const auto& v) { return v.array().log(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lb_free.hpp:37:20: required from ‘auto stan::math::lb_free(T&&, L&&) [with T = const Eigen::Matrix&; L = const int&; stan::require_not_std_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 37 | return eval(log(subtract(std::forward(y_ref), | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | std::forward(lb_ref)))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:253:0: required from ‘void stan::io::serializer::write_free_lb(const L&, const S&) [with S = Eigen::Matrix; L = int; T = double]’ 253 | this->write(stan::math::lb_free(x, lb)); stanExports_stanmarg.h:19761:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19761 | out__.write_free_lb(0, Theta_sd_free); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:59: required from ‘stan::math::apply_vector_unary, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&):: >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&, const stan::math::log, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >]’ 46 | return make_holder([](const auto& a) { return a.matrix().derived(); }, | ~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, void>::apply, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&):: >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&, const stan::math::log, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: required from ‘static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::; T2 = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_t::type> >* = 0; T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >]’ 46 | return make_holder([](const auto& a) { return a.matrix().derived(); }, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 47 | f(x)); | ~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from ‘auto stan::math::log(const Container&) [with Container = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_container_st* = 0]’ 65 | return apply_vector_unary::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 66 | x, [](const auto& v) { return v.array().log(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lb_free.hpp:37:20: required from ‘auto stan::math::lb_free(T&&, L&&) [with T = const Eigen::Matrix&; L = const int&; stan::require_not_std_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 37 | return eval(log(subtract(std::forward(y_ref), | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | std::forward(lb_ref)))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:253:0: required from ‘void stan::io::serializer::write_free_lb(const L&, const S&) [with S = Eigen::Matrix; L = int; T = double]’ 253 | this->write(stan::math::lb_free(x, lb)); stanExports_stanmarg.h:19761:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19761 | out__.write_free_lb(0, Theta_sd_free); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/subtract.hpp:62:13: required from ‘auto stan::math::subtract(Scal, const Mat&) [with Scal = int; Mat = Eigen::Matrix; stan::require_stan_scalar_t* = 0; stan::require_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 62 | return (c - m.array()).matrix(); | ~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/ub_free.hpp:43:29: required from ‘auto stan::math::ub_free(T&&, U&&) [with T = Eigen::Matrix; U = const int&; stan::require_not_std_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 43 | return eval(log(subtract(std::forward(ub_ref), | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 44 | std::forward(y_ref)))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lub_free.hpp:54:19: required from ‘auto stan::math::lub_free(T&&, L&&, U&&) [with T = const Eigen::Matrix&; L = const int&; U = const int&; stan::require_not_std_vector_t* = 0; stan::require_all_stan_scalar_t* = 0]’ 54 | return ub_free(identity_free(y, lb), ub); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:281:0: required from ‘void stan::io::serializer::write_free_lub(const L&, const U&, const S&) [with S = Eigen::Matrix; L = int; U = int; T = double]’ 281 | this->write(stan::math::lub_free(x, lb, ub)); stanExports_stanmarg.h:19780:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19780 | out__.write_free_lub(-1, 1, Theta_r_free); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/subtract.hpp:62:32: required from ‘auto stan::math::subtract(Scal, const Mat&) [with Scal = int; Mat = Eigen::Matrix; stan::require_stan_scalar_t* = 0; stan::require_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 62 | return (c - m.array()).matrix(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/ub_free.hpp:43:29: required from ‘auto stan::math::ub_free(T&&, U&&) [with T = Eigen::Matrix; U = const int&; stan::require_not_std_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 43 | return eval(log(subtract(std::forward(ub_ref), | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 44 | std::forward(y_ref)))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lub_free.hpp:54:19: required from ‘auto stan::math::lub_free(T&&, L&&, U&&) [with T = const Eigen::Matrix&; L = const int&; U = const int&; stan::require_not_std_vector_t* = 0; stan::require_all_stan_scalar_t* = 0]’ 54 | return ub_free(identity_free(y, lb), ub); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:281:0: required from ‘void stan::io::serializer::write_free_lub(const L&, const U&, const S&) [with S = Eigen::Matrix; L = int; U = int; T = double]’ 281 | this->write(stan::math::lub_free(x, lb, ub)); stanExports_stanmarg.h:19780:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19780 | out__.write_free_lub(-1, 1, Theta_r_free); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log.hpp:66:44: required from ‘stan::math::log, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >(const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >&):: [with auto:169 = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >]’ 66 | x, [](const auto& v) { return v.array().log(); }); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: required from ‘static auto stan::math::apply_vector_unary::type>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >(const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >&)::; T2 = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; stan::require_t::type> >* = 0; T = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >]’ 47 | f(x)); | ~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from ‘auto stan::math::log(const Container&) [with Container = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; stan::require_container_st* = 0]’ 65 | return apply_vector_unary::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 66 | x, [](const auto& v) { return v.array().log(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/ub_free.hpp:43:20: required from ‘auto stan::math::ub_free(T&&, U&&) [with T = Eigen::Matrix; U = const int&; stan::require_not_std_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 43 | return eval(log(subtract(std::forward(ub_ref), | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 44 | std::forward(y_ref)))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lub_free.hpp:54:19: required from ‘auto stan::math::lub_free(T&&, L&&, U&&) [with T = const Eigen::Matrix&; L = const int&; U = const int&; stan::require_not_std_vector_t* = 0; stan::require_all_stan_scalar_t* = 0]’ 54 | return ub_free(identity_free(y, lb), ub); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:281:0: required from ‘void stan::io::serializer::write_free_lub(const L&, const U&, const S&) [with S = Eigen::Matrix; L = int; U = int; T = double]’ 281 | this->write(stan::math::lub_free(x, lb, ub)); stanExports_stanmarg.h:19780:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19780 | out__.write_free_lub(-1, 1, Theta_r_free); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log.hpp:66:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from ‘auto stan::math::log(const Container&) [with Container = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; stan::require_container_st* = 0]’ 65 | return apply_vector_unary::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 66 | x, [](const auto& v) { return v.array().log(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/ub_free.hpp:43:20: required from ‘auto stan::math::ub_free(T&&, U&&) [with T = Eigen::Matrix; U = const int&; stan::require_not_std_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 43 | return eval(log(subtract(std::forward(ub_ref), | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 44 | std::forward(y_ref)))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lub_free.hpp:54:19: required from ‘auto stan::math::lub_free(T&&, L&&, U&&) [with T = const Eigen::Matrix&; L = const int&; U = const int&; stan::require_not_std_vector_t* = 0; stan::require_all_stan_scalar_t* = 0]’ 54 | return ub_free(identity_free(y, lb), ub); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:281:0: required from ‘void stan::io::serializer::write_free_lub(const L&, const U&, const S&) [with S = Eigen::Matrix; L = int; U = int; T = double]’ 281 | this->write(stan::math::lub_free(x, lb, ub)); stanExports_stanmarg.h:19780:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19780 | out__.write_free_lub(-1, 1, Theta_r_free); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:59: required from ‘stan::math::apply_vector_unary, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, void>::apply, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >(const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >&):: >(const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >&, const stan::math::log, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >(const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >&)::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >]’ 46 | return make_holder([](const auto& a) { return a.matrix().derived(); }, | ~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46: required from ‘auto stan::math::log(const Container&) [with Container = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; stan::require_container_st* = 0]’ 65 | return apply_vector_unary::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 66 | x, [](const auto& v) { return v.array().log(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/ub_free.hpp:43:20: required from ‘auto stan::math::ub_free(T&&, U&&) [with T = Eigen::Matrix; U = const int&; stan::require_not_std_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 43 | return eval(log(subtract(std::forward(ub_ref), | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 44 | std::forward(y_ref)))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lub_free.hpp:54:19: required from ‘auto stan::math::lub_free(T&&, L&&, U&&) [with T = const Eigen::Matrix&; L = const int&; U = const int&; stan::require_not_std_vector_t* = 0; stan::require_all_stan_scalar_t* = 0]’ 54 | return ub_free(identity_free(y, lb), ub); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:281:0: required from ‘void stan::io::serializer::write_free_lub(const L&, const U&, const S&) [with S = Eigen::Matrix; L = int; U = int; T = double]’ 281 | this->write(stan::math::lub_free(x, lb, ub)); stanExports_stanmarg.h:19780:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19780 | out__.write_free_lub(-1, 1, Theta_r_free); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:33: required from ‘auto stan::math::divide(const T1&, const T2&) [with T1 = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; T2 = double; stan::require_any_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 47 | return (as_array_or_scalar(m) / as_array_or_scalar(c)).matrix(); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lub_free.hpp:59:29: required from ‘auto stan::math::lub_free(T&&, L&&, U&&) [with T = const Eigen::Matrix&; L = const int&; U = const int&; stan::require_not_std_vector_t* = 0; stan::require_all_stan_scalar_t* = 0]’ 59 | return eval(logit(divide(subtract(std::forward(y_ref), lb), | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 60 | subtract(ub, lb)))); | ~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:281:0: required from ‘void stan::io::serializer::write_free_lub(const L&, const U&, const S&) [with S = Eigen::Matrix; L = int; U = int; T = double]’ 281 | this->write(stan::math::lub_free(x, lb, ub)); stanExports_stanmarg.h:19780:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19780 | out__.write_free_lub(-1, 1, Theta_r_free); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:64: required from ‘auto stan::math::divide(const T1&, const T2&) [with T1 = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; T2 = double; stan::require_any_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 47 | return (as_array_or_scalar(m) / as_array_or_scalar(c)).matrix(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lub_free.hpp:59:29: required from ‘auto stan::math::lub_free(T&&, L&&, U&&) [with T = const Eigen::Matrix&; L = const int&; U = const int&; stan::require_not_std_vector_t* = 0; stan::require_all_stan_scalar_t* = 0]’ 59 | return eval(logit(divide(subtract(std::forward(y_ref), lb), | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 60 | subtract(ub, lb)))); | ~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:281:0: required from ‘void stan::io::serializer::write_free_lub(const L&, const U&, const S&) [with S = Eigen::Matrix; L = int; U = int; T = double]’ 281 | this->write(stan::math::lub_free(x, lb, ub)); stanExports_stanmarg.h:19780:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19780 | out__.write_free_lub(-1, 1, Theta_r_free); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/logit.hpp:113:51: required from ‘stan::math::logit, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&):::: [with auto:341 = Eigen::Matrix]’ 113 | [](const auto& v) { return (v.array() / (1 - v.array())).log(); }); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::logit, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::; Args = {Eigen::Matrix}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/logit.hpp:109:21: required from ‘auto stan::math::logit(const Container&) [with Container = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_container_st* = 0]’ 109 | return make_holder( | ~~~~~~~~~~~^ 110 | [](const auto& v_ref) { | ~~~~~~~~~~~~~~~~~~~~~~~ 111 | return apply_vector_unary>::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | v_ref, | ~~~~~~ 113 | [](const auto& v) { return (v.array() / (1 - v.array())).log(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 114 | }, | ~~ 115 | to_ref(x)); | ~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lub_free.hpp:59:22: required from ‘auto stan::math::lub_free(T&&, L&&, U&&) [with T = const Eigen::Matrix&; L = const int&; U = const int&; stan::require_not_std_vector_t* = 0; stan::require_all_stan_scalar_t* = 0]’ 59 | return eval(logit(divide(subtract(std::forward(y_ref), lb), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 60 | subtract(ub, lb)))); | ~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:281:0: required from ‘void stan::io::serializer::write_free_lub(const L&, const U&, const S&) [with S = Eigen::Matrix; L = int; U = int; T = double]’ 281 | this->write(stan::math::lub_free(x, lb, ub)); stanExports_stanmarg.h:19780:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19780 | out__.write_free_lub(-1, 1, Theta_r_free); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/logit.hpp:113:73: required from ‘stan::math::logit, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&):::: [with auto:341 = Eigen::Matrix]’ 113 | [](const auto& v) { return (v.array() / (1 - v.array())).log(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::logit, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::; Args = {Eigen::Matrix}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/logit.hpp:109:21: required from ‘auto stan::math::logit(const Container&) [with Container = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_container_st* = 0]’ 109 | return make_holder( | ~~~~~~~~~~~^ 110 | [](const auto& v_ref) { | ~~~~~~~~~~~~~~~~~~~~~~~ 111 | return apply_vector_unary>::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | v_ref, | ~~~~~~ 113 | [](const auto& v) { return (v.array() / (1 - v.array())).log(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 114 | }, | ~~ 115 | to_ref(x)); | ~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lub_free.hpp:59:22: required from ‘auto stan::math::lub_free(T&&, L&&, U&&) [with T = const Eigen::Matrix&; L = const int&; U = const int&; stan::require_not_std_vector_t* = 0; stan::require_all_stan_scalar_t* = 0]’ 59 | return eval(logit(divide(subtract(std::forward(y_ref), lb), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 60 | subtract(ub, lb)))); | ~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:281:0: required from ‘void stan::io::serializer::write_free_lub(const L&, const U&, const S&) [with S = Eigen::Matrix; L = int; U = int; T = double]’ 281 | this->write(stan::math::lub_free(x, lb, ub)); stanExports_stanmarg.h:19780:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19780 | out__.write_free_lub(-1, 1, Theta_r_free); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:59: required from ‘stan::math::apply_vector_unary, void>::apply, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&):::: >(const Eigen::Matrix&, const stan::math::logit, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::::&):: [with auto:6 = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >]’ 46 | return make_holder([](const auto& a) { return a.matrix().derived(); }, | ~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary, void>::apply, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&):::: >(const Eigen::Matrix&, const stan::math::logit, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::::&)::; Args = {Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::logit, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::; Args = {Eigen::Matrix}; stan::require_plain_type_t()((declval)()...))>* = ]’ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/logit.hpp:109:21: required from ‘auto stan::math::logit(const Container&) [with Container = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_container_st* = 0]’ 109 | return make_holder( | ~~~~~~~~~~~^ 110 | [](const auto& v_ref) { | ~~~~~~~~~~~~~~~~~~~~~~~ 111 | return apply_vector_unary>::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | v_ref, | ~~~~~~ 113 | [](const auto& v) { return (v.array() / (1 - v.array())).log(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 114 | }, | ~~ 115 | to_ref(x)); | ~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lub_free.hpp:59:22: required from ‘auto stan::math::lub_free(T&&, L&&, U&&) [with T = const Eigen::Matrix&; L = const int&; U = const int&; stan::require_not_std_vector_t* = 0; stan::require_all_stan_scalar_t* = 0]’ 59 | return eval(logit(divide(subtract(std::forward(y_ref), lb), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 60 | subtract(ub, lb)))); | ~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:281:0: required from ‘void stan::io::serializer::write_free_lub(const L&, const U&, const S&) [with S = Eigen::Matrix; L = int; U = int; T = double]’ 281 | this->write(stan::math::lub_free(x, lb, ub)); stanExports_stanmarg.h:19780:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19780 | out__.write_free_lub(-1, 1, Theta_r_free); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:115:7: required from ‘class stan::math::Holder, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >, Eigen::Matrix >’ 115 | class Holder | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:312:16: required from ‘auto stan::math::internal::make_holder_impl_construct_object(T&&, std::index_sequence, const std::tuple&) [with T = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >; long unsigned int ...Is = {0}; Args = {Eigen::Matrix}; std::index_sequence = std::integer_sequence]’ 312 | return holder(std::forward(expr), std::get(ptrs)...); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:330:43: required from ‘auto stan::math::internal::make_holder_impl(const F&, std::index_sequence, Args&& ...) [with F = stan::math::logit, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::; long unsigned int ...Is = {0}; Args = {Eigen::Matrix}; std::index_sequence = std::integer_sequence]’ 330 | return make_holder_impl_construct_object( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 331 | func(*std::get(res)...), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 332 | std::make_index_sequence::value>(), ptrs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:353:36: required from ‘auto stan::math::make_holder(const F&, Args&& ...) [with F = logit, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >(const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >&)::; Args = {Eigen::Matrix}; stan::require_not_plain_type_t()((declval)()...))>* = 0]’ 353 | return internal::make_holder_impl(func, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 354 | std::make_index_sequence(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 355 | std::forward(args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/logit.hpp:109:21: required from ‘auto stan::math::logit(const Container&) [with Container = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; stan::require_container_st* = 0]’ 109 | return make_holder( | ~~~~~~~~~~~^ 110 | [](const auto& v_ref) { | ~~~~~~~~~~~~~~~~~~~~~~~ 111 | return apply_vector_unary>::apply( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | v_ref, | ~~~~~~ 113 | [](const auto& v) { return (v.array() / (1 - v.array())).log(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 114 | }, | ~~ 115 | to_ref(x)); | ~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/lub_free.hpp:59:22: required from ‘auto stan::math::lub_free(T&&, L&&, U&&) [with T = const Eigen::Matrix&; L = const int&; U = const int&; stan::require_not_std_vector_t* = 0; stan::require_all_stan_scalar_t* = 0]’ 59 | return eval(logit(divide(subtract(std::forward(y_ref), lb), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 60 | subtract(ub, lb)))); | ~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:281:0: required from ‘void stan::io::serializer::write_free_lub(const L&, const U&, const S&) [with S = Eigen::Matrix; L = int; U = int; T = double]’ 281 | this->write(stan::math::lub_free(x, lb, ub)); stanExports_stanmarg.h:19780:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19780 | out__.write_free_lub(-1, 1, Theta_r_free); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp: In instantiation of ‘int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; Eigen::MatrixXd = Eigen::Matrix]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1253:0: required from ‘SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1253 | ret = stan::services::standalone_generate(model_, draws, 1254 | Rcpp::as(seed), interrupt, logger, *sample_writer_ptr); stanExports_stanmarg.cc:30:0: required from here 30 | .method("standalone_gqs", &rstan::stan_fit ::standalone_gqs) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:55: warning: comparison of integer expressions of different signedness: ‘std::vector >::size_type’ {aka ‘long unsigned int’} and ‘Eigen::Index’ {aka ‘long int’} [-Wsign-compare] 55 | if (p_names.size() != draws.cols()) { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:71: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::Index’ {aka ‘long int’} [-Wsign-compare] 71 | for (size_t i = 0; i < draws.rows(); ++i) { In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/assert.hpp:35, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:20, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:19, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/size_type.hpp:20, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/size.hpp:21, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/functions.hpp:20, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range.hpp:18, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resize.hpp:22: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::constraint::failed() [with Model = boost::algorithm::FinderConcept >, __gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:81:0: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:0: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( 159 | Result, 160 | Input, 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0: required from here 19 | boost::split(parts, variable, boost::is_any_of(":")); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:65:52: warning: ‘this’ pointer is null [-Wnonnull] 65 | static void failed() { ((Model*)0)->constraints(); } | ~~~~~~~~~~~~~~~~~~~~~~~~^~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:26, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:16, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string.hpp:23, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:4, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:46: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/concept.hpp:40: note: in a call to non-static member function ‘void boost::algorithm::FinderConcept::constraints() [with FinderT = boost::algorithm::detail::token_finderF >; IteratorT = __gnu_cxx::__normal_iterator >]’ 40 | void constraints() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::constraint::failed() [with Model = boost::algorithm::FinderConcept, __gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/find_format.hpp:98:0: required from ‘void boost::algorithm::find_format(SequenceT&, FinderT, FormatterT) [with SequenceT = std::__cxx11::basic_string; FinderT = detail::first_finderF; FormatterT = detail::const_formatF >]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/replace.hpp:179:0: required from ‘void boost::algorithm::replace_first(SequenceT&, const Range1T&, const Range2T&) [with SequenceT = std::__cxx11::basic_string; Range1T = char [11]; Range2T = char [1]]’ 179 | ::boost::algorithm::find_format( 180 | Input, 181 | ::boost::algorithm::first_finder(Search), 182 | ::boost::algorithm::const_formatter(Format) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:133:0: required from here 133 | boost::replace_first(value, " (Default)", ""); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:65:52: warning: ‘this’ pointer is null [-Wnonnull] 65 | static void failed() { ((Model*)0)->constraints(); } | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/concept.hpp:40: note: in a call to non-static member function ‘void boost::algorithm::FinderConcept::constraints() [with FinderT = boost::algorithm::detail::first_finderF; IteratorT = __gnu_cxx::__normal_iterator >]’ 40 | void constraints() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::constraint::failed() [with Model = boost::algorithm::FormatterConcept >, boost::algorithm::detail::first_finderF, __gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/find_format.hpp:103:0: required from ‘void boost::algorithm::find_format(SequenceT&, FinderT, FormatterT) [with SequenceT = std::__cxx11::basic_string; FinderT = detail::first_finderF; FormatterT = detail::const_formatF >]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/replace.hpp:179:0: required from ‘void boost::algorithm::replace_first(SequenceT&, const Range1T&, const Range2T&) [with SequenceT = std::__cxx11::basic_string; Range1T = char [11]; Range2T = char [1]]’ 179 | ::boost::algorithm::find_format( 180 | Input, 181 | ::boost::algorithm::first_finder(Search), 182 | ::boost::algorithm::const_formatter(Format) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:133:0: required from here 133 | boost::replace_first(value, " (Default)", ""); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:65:52: warning: ‘this’ pointer is null [-Wnonnull] 65 | static void failed() { ((Model*)0)->constraints(); } | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/concept.hpp:65: note: in a call to non-static member function ‘void boost::algorithm::FormatterConcept::constraints() [with FormatterT = boost::algorithm::detail::const_formatF >; FinderT = boost::algorithm::detail::first_finderF; IteratorT = __gnu_cxx::__normal_iterator >]’ 65 | void constraints() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_L.hpp:112:44: required from ‘Eigen::Matrix::type, -1, -1> stan::math::read_corr_L(const T&, size_t, stan::value_type_t&) [with T = Eigen::Matrix; stan::require_eigen_vector_t* = 0; typename stan::value_type::type = double; size_t = long unsigned int; stan::value_type_t = double]’ 112 | const Eigen::Ref>& CPCs_ref = CPCs; | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_matrix.hpp:61:55: required from ‘Eigen::Matrix::type, -1, -1> stan::math::read_corr_matrix(const T_CPCs&, size_t, stan::value_type_t&) [with T_CPCs = Eigen::Matrix; stan::require_eigen_vector_t* = 0; typename stan::value_type::type = double; size_t = long unsigned int; stan::value_type_t = double]’ 61 | return multiply_lower_tri_self_transpose(read_corr_L(CPCs, K, log_prob)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_constrain.hpp:74:26: required from ‘Eigen::Matrix::type, -1, -1> stan::math::corr_matrix_constrain(const T&, Eigen::Index, stan::return_type_t&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t* = 0; typename stan::value_type::type = double; Eigen::Index = long int; stan::return_type_t = double]’ 74 | return read_corr_matrix(corr_constrain(x, lp), k, lp); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:945:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix; bool Jacobian = false; LP = double; stan::require_not_std_vector_t* = 0; stan::require_matrix_t* = 0; T = double; Eigen::Index = long int]’ 945 | return corr_matrix_constrain( 946 | this->read>((k * (k - 1)) / 2), 947 | k, lp); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t* = 0; T = double; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:14930:0: required from here 14928 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 14929 | std::vector>, 14930 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 14931 | Psi_r_mat_1_3dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_L.hpp:62:47: required from ‘Eigen::Matrix::type, -1, -1> stan::math::read_corr_L(const T&, size_t) [with T = Eigen::Matrix; stan::require_eigen_vector_t* = 0; typename stan::value_type::type = double; size_t = long unsigned int]’ 62 | acc.tail(pull) = T_scalar(1.0) - temp.square(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_matrix.hpp:32:55: required from ‘Eigen::Matrix::type, -1, -1> stan::math::read_corr_matrix(const T_CPCs&, size_t) [with T_CPCs = Eigen::Matrix; stan::require_eigen_vector_t* = 0; typename stan::value_type::type = double; size_t = long unsigned int]’ 32 | return multiply_lower_tri_self_transpose(read_corr_L(CPCs, K)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_constrain.hpp:45:26: required from ‘Eigen::Matrix::type, -1, -1> stan::math::corr_matrix_constrain(const T&, Eigen::Index) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t* = 0; typename stan::value_type::type = double; Eigen::Index = long int]’ 45 | return read_corr_matrix(corr_constrain(x), k); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:949:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix; bool Jacobian = false; LP = double; stan::require_not_std_vector_t* = 0; stan::require_matrix_t* = 0; T = double; Eigen::Index = long int]’ 949 | return corr_matrix_constrain( 950 | this->read>((k * (k - 1)) / 2), 951 | k); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t* = 0; T = double; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:14930:0: required from here 14928 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 14929 | std::vector>, 14930 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 14931 | Psi_r_mat_1_3dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_L.hpp:62:34: required from ‘Eigen::Matrix::type, -1, -1> stan::math::read_corr_L(const T&, size_t) [with T = Eigen::Matrix; stan::require_eigen_vector_t* = 0; typename stan::value_type::type = double; size_t = long unsigned int]’ 62 | acc.tail(pull) = T_scalar(1.0) - temp.square(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_matrix.hpp:32:55: required from ‘Eigen::Matrix::type, -1, -1> stan::math::read_corr_matrix(const T_CPCs&, size_t) [with T_CPCs = Eigen::Matrix; stan::require_eigen_vector_t* = 0; typename stan::value_type::type = double; size_t = long unsigned int]’ 32 | return multiply_lower_tri_self_transpose(read_corr_L(CPCs, K)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_constrain.hpp:45:26: required from ‘Eigen::Matrix::type, -1, -1> stan::math::corr_matrix_constrain(const T&, Eigen::Index) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t* = 0; typename stan::value_type::type = double; Eigen::Index = long int]’ 45 | return read_corr_matrix(corr_constrain(x), k); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:949:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix; bool Jacobian = false; LP = double; stan::require_not_std_vector_t* = 0; stan::require_matrix_t* = 0; T = double; Eigen::Index = long int]’ 949 | return corr_matrix_constrain( 950 | this->read>((k * (k - 1)) / 2), 951 | k); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t* = 0; T = double; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:14930:0: required from here 14928 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 14929 | std::vector>, 14930 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 14931 | Psi_r_mat_1_3dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_L.hpp:68:32: required from ‘Eigen::Matrix::type, -1, -1> stan::math::read_corr_L(const T&, size_t) [with T = Eigen::Matrix; stan::require_eigen_vector_t* = 0; typename stan::value_type::type = double; size_t = long unsigned int]’ 68 | L.col(i).tail(pull) = temp * acc.tail(pull).sqrt(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_matrix.hpp:32:55: required from ‘Eigen::Matrix::type, -1, -1> stan::math::read_corr_matrix(const T_CPCs&, size_t) [with T_CPCs = Eigen::Matrix; stan::require_eigen_vector_t* = 0; typename stan::value_type::type = double; size_t = long unsigned int]’ 32 | return multiply_lower_tri_self_transpose(read_corr_L(CPCs, K)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_constrain.hpp:45:26: required from ‘Eigen::Matrix::type, -1, -1> stan::math::corr_matrix_constrain(const T&, Eigen::Index) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t* = 0; typename stan::value_type::type = double; Eigen::Index = long int]’ 45 | return read_corr_matrix(corr_constrain(x), k); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:949:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix; bool Jacobian = false; LP = double; stan::require_not_std_vector_t* = 0; stan::require_matrix_t* = 0; T = double; Eigen::Index = long int]’ 949 | return corr_matrix_constrain( 950 | this->read>((k * (k - 1)) / 2), 951 | k); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t* = 0; T = double; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:14930:0: required from here 14928 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 14929 | std::vector>, 14930 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 14931 | Psi_r_mat_1_3dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:58: required from ‘stan::math::log_sum_exp >(const Eigen::Matrix&):: [with auto:304 = Eigen::Matrix]’ 92 | return max + std::log((v_ref.array() - max).exp().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from ‘static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::log_sum_exp >(const Eigen::Matrix&)::; T = Eigen::Matrix]’ 93 | return f(x); | ~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39: required from ‘auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix; stan::require_container_st* = 0]’ 83 | return apply_vector_unary::reduce(x, [&](const auto& v) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ 84 | if (v.size() == 0) { | ~~~~~~~~~~~~~~~~~~~~ 85 | return NEGATIVE_INFTY; | ~~~~~~~~~~~~~~~~~~~~~~ 86 | } | ~ 87 | const auto& v_ref = to_ref(v); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 88 | const double max = v_ref.maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 89 | if (!std::isfinite(max)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 90 | return max; | ~~~~~~~~~~~ 91 | } | ~ 92 | return max + std::log((v_ref.array() - max).exp().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 93 | }); | ~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35: required from here 59 | double log_sum_y = log_sum_exp(log_y); | ~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:330: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’ 72 | typedef blas_data_mapper ResMapper; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 33 | return result.setZero().template selfadjointView().rankUpdate( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 34 | M_ref); | ~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’ 92 | gebp_kernel gebp; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 33 | return result.setZero().template selfadjointView().rankUpdate( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 34 | M_ref); | ~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’ 92 | gebp_kernel gebp; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 33 | return result.setZero().template selfadjointView().rankUpdate( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 34 | M_ref); | ~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:159:10: required from ‘Eigen::CommaInitializer Eigen::DenseBase::operator<<(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix]’ 159 | return CommaInitializer(*static_cast(this), other); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:10: required from ‘Eigen::Matrix::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t >* = 0; stan::require_stan_scalar_t* = 0; typename stan::return_type::type = double]’ 102 | result << A.template cast(), B; | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31: required from ‘T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 29 | ArrayBT b_array = append_row(as_array_or_scalar(b), 1.0); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from ‘auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 123 | return internal::hypergeometric_3F2_infsum(a, b, z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from ‘auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]’ 148 | return hypergeometric_3F2(std::vector(a), std::vector(b), z); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:0: required from here 77 | + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w)) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:478:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 478 | return Scalar(derived().redux(Eigen::internal::scalar_sum_op())) / Scalar(this->size()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:0: required from here 25 | vector_d diff = dtrs_vals.array() - dtrs_vals.mean(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 451 | subdiag = mat.template diagonal<-1>().real(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:91: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:101: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::InnerStride<1> >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_L.hpp:126:21: required from ‘Eigen::Matrix::type, -1, -1> stan::math::read_corr_L(const T&, size_t, stan::value_type_t&) [with T = Eigen::Matrix; stan::require_eigen_vector_t* = 0; typename stan::value_type::type = double; size_t = long unsigned int; stan::value_type_t = double]’ 126 | return read_corr_L(CPCs_ref, K); | ~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_matrix.hpp:61:55: required from ‘Eigen::Matrix::type, -1, -1> stan::math::read_corr_matrix(const T_CPCs&, size_t, stan::value_type_t&) [with T_CPCs = Eigen::Matrix; stan::require_eigen_vector_t* = 0; typename stan::value_type::type = double; size_t = long unsigned int; stan::value_type_t = double]’ 61 | return multiply_lower_tri_self_transpose(read_corr_L(CPCs, K, log_prob)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_constrain.hpp:74:26: required from ‘Eigen::Matrix::type, -1, -1> stan::math::corr_matrix_constrain(const T&, Eigen::Index, stan::return_type_t&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t* = 0; typename stan::value_type::type = double; Eigen::Index = long int; stan::return_type_t = double]’ 74 | return read_corr_matrix(corr_constrain(x, lp), k, lp); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:945:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix; bool Jacobian = false; LP = double; stan::require_not_std_vector_t* = 0; stan::require_matrix_t* = 0; T = double; Eigen::Index = long int]’ 945 | return corr_matrix_constrain( 946 | this->read>((k * (k - 1)) / 2), 947 | k, lp); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t* = 0; T = double; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:14930:0: required from here 14928 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 14929 | std::vector>, 14930 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 14931 | Psi_r_mat_1_3dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:46: required from ‘stan::math::matrix_d stan::math::multiply_lower_tri_self_transpose(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_matrix_dynamic_t* = 0; stan::require_not_st_autodiff* = 0; matrix_d = Eigen::Matrix]’ 35 | LLt(m, m) = Lt.col(m).head(k).squaredNorm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_matrix.hpp:61:43: required from ‘Eigen::Matrix::type, -1, -1> stan::math::read_corr_matrix(const T_CPCs&, size_t, stan::value_type_t&) [with T_CPCs = Eigen::Matrix; stan::require_eigen_vector_t* = 0; typename stan::value_type::type = double; size_t = long unsigned int; stan::value_type_t = double]’ 61 | return multiply_lower_tri_self_transpose(read_corr_L(CPCs, K, log_prob)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_constrain.hpp:74:26: required from ‘Eigen::Matrix::type, -1, -1> stan::math::corr_matrix_constrain(const T&, Eigen::Index, stan::return_type_t&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t* = 0; typename stan::value_type::type = double; Eigen::Index = long int; stan::return_type_t = double]’ 74 | return read_corr_matrix(corr_constrain(x, lp), k, lp); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:945:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix; bool Jacobian = false; LP = double; stan::require_not_std_vector_t* = 0; stan::require_matrix_t* = 0; T = double; Eigen::Index = long int]’ 945 | return corr_matrix_constrain( 946 | this->read>((k * (k - 1)) / 2), 947 | k, lp); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t* = 0; T = double; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:14930:0: required from here 14928 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 14929 | std::vector>, 14930 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 14931 | Psi_r_mat_1_3dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:191:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 191 | _pk.noalias() = -_gk; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:386:0: required from ‘auto stan::io::deserializer::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 386 | return stan::math::lb_constrain(this->read(sizes...), lb, lp); stanExports_stanmarg.h:12871:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12870 | Theta_sd_free = in__.template read_constrain_lb< 12871 | Eigen::Matrix, jacobian__>(0, 12872 | lp__, Theta_sd_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:386:0: required from ‘auto stan::io::deserializer::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 386 | return stan::math::lb_constrain(this->read(sizes...), lb, lp); stanExports_stanmarg.h:12871:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12870 | Theta_sd_free = in__.template read_constrain_lb< 12871 | Eigen::Matrix, jacobian__>(0, 12872 | lp__, Theta_sd_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lb_constrain.hpp:192:0: required from ‘auto stan::math::lb_constrain(const T&, const L&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; stan::require_matrix_t* = 0; stan::require_stan_scalar_t* = 0; stan::require_any_st_var* = 0; stan::return_type_t = var_value]’ 192 | auto exp_x = to_arena(arena_x.val().array().exp()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:386:0: required from ‘auto stan::io::deserializer::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 386 | return stan::math::lb_constrain(this->read(sizes...), lb, lp); stanExports_stanmarg.h:12871:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12870 | Theta_sd_free = in__.template read_constrain_lb< 12871 | Eigen::Matrix, jacobian__>(0, 12872 | lp__, Theta_sd_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lb_constrain.hpp:193:0: required from ‘auto stan::math::lb_constrain(const T&, const L&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; stan::require_matrix_t* = 0; stan::require_stan_scalar_t* = 0; stan::require_any_st_var* = 0; stan::return_type_t = var_value]’ 193 | arena_t ret = exp_x + lb_val; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:386:0: required from ‘auto stan::io::deserializer::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 386 | return stan::math::lb_constrain(this->read(sizes...), lb, lp); stanExports_stanmarg.h:12871:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12870 | Theta_sd_free = in__.template read_constrain_lb< 12871 | Eigen::Matrix, jacobian__>(0, 12872 | lp__, Theta_sd_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:386:0: required from ‘auto stan::io::deserializer::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 386 | return stan::math::lb_constrain(this->read(sizes...), lb, lp); stanExports_stanmarg.h:12871:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12870 | Theta_sd_free = in__.template read_constrain_lb< 12871 | Eigen::Matrix, jacobian__>(0, 12872 | lp__, Theta_sd_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:386:0: required from ‘auto stan::io::deserializer::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 386 | return stan::math::lb_constrain(this->read(sizes...), lb, lp); stanExports_stanmarg.h:12871:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12870 | Theta_sd_free = in__.template read_constrain_lb< 12871 | Eigen::Matrix, jacobian__>(0, 12872 | lp__, Theta_sd_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lb_constrain.hpp:197:0: required from ‘auto stan::math::lb_constrain(const T&, const L&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; stan::require_matrix_t* = 0; stan::require_stan_scalar_t* = 0; stan::require_any_st_var* = 0; stan::return_type_t = var_value]’ 197 | arena_x.adj().array() += ret.adj().array() * exp_x + lp.adj(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:386:0: required from ‘auto stan::io::deserializer::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 386 | return stan::math::lb_constrain(this->read(sizes...), lb, lp); stanExports_stanmarg.h:12871:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12870 | Theta_sd_free = in__.template read_constrain_lb< 12871 | Eigen::Matrix, jacobian__>(0, 12872 | lp__, Theta_sd_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lb_constrain.hpp:197:0: required from ‘auto stan::math::lb_constrain(const T&, const L&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; stan::require_matrix_t* = 0; stan::require_stan_scalar_t* = 0; stan::require_any_st_var* = 0; stan::return_type_t = var_value]’ 197 | arena_x.adj().array() += ret.adj().array() * exp_x + lp.adj(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:386:0: required from ‘auto stan::io::deserializer::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 386 | return stan::math::lb_constrain(this->read(sizes...), lb, lp); stanExports_stanmarg.h:12871:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12870 | Theta_sd_free = in__.template read_constrain_lb< 12871 | Eigen::Matrix, jacobian__>(0, 12872 | lp__, Theta_sd_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:27: required from ‘stan::math::value_of, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >&):: [with auto:11 = const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >]’ 75 | return a.unaryExpr([](const auto& scal) { return value_of(scal); }); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:386:0: required from ‘auto stan::io::deserializer::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 386 | return stan::math::lb_constrain(this->read(sizes...), lb, lp); stanExports_stanmarg.h:12871:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12870 | Theta_sd_free = in__.template read_constrain_lb< 12871 | Eigen::Matrix, jacobian__>(0, 12872 | lp__, Theta_sd_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lb_constrain.hpp:213:0: required from ‘auto stan::math::lb_constrain(const T&, const L&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; stan::require_matrix_t* = 0; stan::require_stan_scalar_t* = 0; stan::require_any_st_var* = 0; stan::return_type_t = var_value]’ 213 | arena_t ret = value_of(x_ref).array().exp() + lb_val; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:386:0: required from ‘auto stan::io::deserializer::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 386 | return stan::math::lb_constrain(this->read(sizes...), lb, lp); stanExports_stanmarg.h:12871:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12870 | Theta_sd_free = in__.template read_constrain_lb< 12871 | Eigen::Matrix, jacobian__>(0, 12872 | lp__, Theta_sd_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lb_constrain.hpp:213:0: required from ‘auto stan::math::lb_constrain(const T&, const L&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; stan::require_matrix_t* = 0; stan::require_stan_scalar_t* = 0; stan::require_any_st_var* = 0; stan::return_type_t = var_value]’ 213 | arena_t ret = value_of(x_ref).array().exp() + lb_val; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:386:0: required from ‘auto stan::io::deserializer::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 386 | return stan::math::lb_constrain(this->read(sizes...), lb, lp); stanExports_stanmarg.h:12871:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12870 | Theta_sd_free = in__.template read_constrain_lb< 12871 | Eigen::Matrix, jacobian__>(0, 12872 | lp__, Theta_sd_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lb_constrain.hpp:213:0: required from ‘auto stan::math::lb_constrain(const T&, const L&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; stan::require_matrix_t* = 0; stan::require_stan_scalar_t* = 0; stan::require_any_st_var* = 0; stan::return_type_t = var_value]’ 213 | arena_t ret = value_of(x_ref).array().exp() + lb_val; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:386:0: required from ‘auto stan::io::deserializer::read_constrain_lb(const LB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 386 | return stan::math::lb_constrain(this->read(sizes...), lb, lp); stanExports_stanmarg.h:12871:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12870 | Theta_sd_free = in__.template read_constrain_lb< 12871 | Eigen::Matrix, jacobian__>(0, 12872 | lp__, Theta_sd_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lb_constrain.hpp:213:0: required from ‘auto stan::math::lb_constrain(const T&, const L&, stan::return_type_t&) [with T = Eigen::Matrix, -1, 1>; L = int; stan::require_matrix_t* = 0; stan::require_stan_scalar_t* = 0; stan::require_any_st_var* = 0; stan::return_type_t = var_value]’ 213 | arena_t ret = value_of(x_ref).array().exp() + lb_val; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lub_constrain.hpp:209:0: required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_matrix_t* = 0; stan::require_all_stan_scalar_t* = 0; stan::require_var_t::type>* = 0; stan::return_type_t = var_value]’ 209 | return ret_type(lb_constrain(identity_constrain(x, ub), lb, lp)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12878:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12877 | Theta_r_free = in__.template read_constrain_lub< 12878 | Eigen::Matrix, jacobian__>(-1, 12879 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lb_constrain.hpp:213:0: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12878:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12877 | Theta_r_free = in__.template read_constrain_lub< 12878 | Eigen::Matrix, jacobian__>(-1, 12879 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lb_constrain.hpp:213:0: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12878:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12877 | Theta_r_free = in__.template read_constrain_lub< 12878 | Eigen::Matrix, jacobian__>(-1, 12879 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/ub_constrain.hpp:195:0: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12878:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12877 | Theta_r_free = in__.template read_constrain_lub< 12878 | Eigen::Matrix, jacobian__>(-1, 12879 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/ub_constrain.hpp:196:0: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12878:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12877 | Theta_r_free = in__.template read_constrain_lub< 12878 | Eigen::Matrix, jacobian__>(-1, 12879 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/ub_constrain.hpp:215:0: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12878:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12877 | Theta_r_free = in__.template read_constrain_lub< 12878 | Eigen::Matrix, jacobian__>(-1, 12879 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/ub_constrain.hpp:215:0: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12878:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12877 | Theta_r_free = in__.template read_constrain_lub< 12878 | Eigen::Matrix, jacobian__>(-1, 12879 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:27: required from ‘stan::math::value_of, -1, 1> >&>(arena_matrix, -1, 1> >&):: [with auto:11 = stan::math::arena_matrix, -1, 1> >]’ 75 | return a.unaryExpr([](const auto& scal) { return value_of(scal); }); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12878:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12877 | Theta_r_free = in__.template read_constrain_lub< 12878 | Eigen::Matrix, jacobian__>(-1, 12879 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lub_constrain.hpp:215:0: required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_matrix_t* = 0; stan::require_all_stan_scalar_t* = 0; stan::require_var_t::type>* = 0; stan::return_type_t = var_value]’ 215 | auto neg_abs_x = to_arena(-(value_of(arena_x).array()).abs()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12878:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12877 | Theta_r_free = in__.template read_constrain_lub< 12878 | Eigen::Matrix, jacobian__>(-1, 12879 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lub_constrain.hpp:215:0: required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_matrix_t* = 0; stan::require_all_stan_scalar_t* = 0; stan::require_var_t::type>* = 0; stan::return_type_t = var_value]’ 215 | auto neg_abs_x = to_arena(-(value_of(arena_x).array()).abs()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12878:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12877 | Theta_r_free = in__.template read_constrain_lub< 12878 | Eigen::Matrix, jacobian__>(-1, 12879 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lub_constrain.hpp:215:0: required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_matrix_t* = 0; stan::require_all_stan_scalar_t* = 0; stan::require_var_t::type>* = 0; stan::return_type_t = var_value]’ 215 | auto neg_abs_x = to_arena(-(value_of(arena_x).array()).abs()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12878:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12877 | Theta_r_free = in__.template read_constrain_lub< 12878 | Eigen::Matrix, jacobian__>(-1, 12879 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, void>, void>::apply(const stan::math::arena_matrix, void>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, void>, void>::apply(const stan::math::arena_matrix, void>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, void>, void>::apply(const stan::math::arena_matrix, void>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, void>, void>::apply(const stan::math::arena_matrix, void>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, void>, void>::apply(const stan::math::arena_matrix, void>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from ‘static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::log1p_exp_fun; T = stan::math::arena_matrix, void>]’ 62 | return x.unaryExpr([](auto&& x) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~ 63 | return apply_scalar_unary>::apply(x); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | }); | ~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12878:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12877 | Theta_r_free = in__.template read_constrain_lub< 12878 | Eigen::Matrix, jacobian__>(-1, 12879 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, void>, void>::apply(const stan::math::arena_matrix, void>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, void>, void>::apply(const stan::math::arena_matrix, void>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, void>, void>::apply(const stan::math::arena_matrix, void>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, void>, void>::apply(const stan::math::arena_matrix, void>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, void>, void>::apply(const stan::math::arena_matrix, void>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lub_constrain.hpp:217:0: required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_matrix_t* = 0; stan::require_all_stan_scalar_t* = 0; stan::require_var_t::type>* = 0; stan::return_type_t = var_value]’ 217 | lp += (log(diff) + (neg_abs_x - (2.0 * log1p_exp(neg_abs_x)))).sum(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12878:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12877 | Theta_r_free = in__.template read_constrain_lub< 12878 | Eigen::Matrix, jacobian__>(-1, 12879 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, void>, void>::apply(const stan::math::arena_matrix, void>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, void>, void>::apply(const stan::math::arena_matrix, void>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, void>, void>::apply(const stan::math::arena_matrix, void>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, void>, void>::apply(const stan::math::arena_matrix, void>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, void>, void>::apply(const stan::math::arena_matrix, void>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lub_constrain.hpp:217:0: required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_matrix_t* = 0; stan::require_all_stan_scalar_t* = 0; stan::require_var_t::type>* = 0; stan::return_type_t = var_value]’ 217 | lp += (log(diff) + (neg_abs_x - (2.0 * log1p_exp(neg_abs_x)))).sum(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12878:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12877 | Theta_r_free = in__.template read_constrain_lub< 12878 | Eigen::Matrix, jacobian__>(-1, 12879 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, void>, void>::apply(const stan::math::arena_matrix, void>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, void>, void>::apply(const stan::math::arena_matrix, void>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, void>, void>::apply(const stan::math::arena_matrix, void>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, void>, void>::apply(const stan::math::arena_matrix, void>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, void>, void>::apply(const stan::math::arena_matrix, void>&)::, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lub_constrain.hpp:217:0: required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_matrix_t* = 0; stan::require_all_stan_scalar_t* = 0; stan::require_var_t::type>* = 0; stan::return_type_t = var_value]’ 217 | lp += (log(diff) + (neg_abs_x - (2.0 * log1p_exp(neg_abs_x)))).sum(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12878:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12877 | Theta_r_free = in__.template read_constrain_lub< 12878 | Eigen::Matrix, jacobian__>(-1, 12879 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from ‘static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::inv_logit_fun; T = Eigen::ArrayWrapper, -1, 1> >&>(arena_matrix, -1, 1> >&)::::, const Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >]’ 62 | return x.unaryExpr([](auto&& x) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~ 63 | return apply_scalar_unary>::apply(x); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | }); | ~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12878:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12877 | Theta_r_free = in__.template read_constrain_lub< 12878 | Eigen::Matrix, jacobian__>(-1, 12879 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lub_constrain.hpp:219:0: required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_matrix_t* = 0; stan::require_all_stan_scalar_t* = 0; stan::require_var_t::type>* = 0; stan::return_type_t = var_value]’ 219 | arena_t ret = diff * inv_logit_x + lb_val; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12878:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12877 | Theta_r_free = in__.template read_constrain_lub< 12878 | Eigen::Matrix, jacobian__>(-1, 12879 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lub_constrain.hpp:219:0: required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_matrix_t* = 0; stan::require_all_stan_scalar_t* = 0; stan::require_var_t::type>* = 0; stan::return_type_t = var_value]’ 219 | arena_t ret = diff * inv_logit_x + lb_val; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12878:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12877 | Theta_r_free = in__.template read_constrain_lub< 12878 | Eigen::Matrix, jacobian__>(-1, 12879 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lub_constrain.hpp:224:0: required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_matrix_t* = 0; stan::require_all_stan_scalar_t* = 0; stan::require_var_t::type>* = 0; stan::return_type_t = var_value]’ 224 | += ret.adj().array() * diff * inv_logit_x * (1.0 - inv_logit_x) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12878:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12877 | Theta_r_free = in__.template read_constrain_lub< 12878 | Eigen::Matrix, jacobian__>(-1, 12879 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lub_constrain.hpp:224:0: required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_matrix_t* = 0; stan::require_all_stan_scalar_t* = 0; stan::require_var_t::type>* = 0; stan::return_type_t = var_value]’ 224 | += ret.adj().array() * diff * inv_logit_x * (1.0 - inv_logit_x) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12878:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12877 | Theta_r_free = in__.template read_constrain_lub< 12878 | Eigen::Matrix, jacobian__>(-1, 12879 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lub_constrain.hpp:224:0: required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_matrix_t* = 0; stan::require_all_stan_scalar_t* = 0; stan::require_var_t::type>* = 0; stan::return_type_t = var_value]’ 224 | += ret.adj().array() * diff * inv_logit_x * (1.0 - inv_logit_x) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12878:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12877 | Theta_r_free = in__.template read_constrain_lub< 12878 | Eigen::Matrix, jacobian__>(-1, 12879 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lub_constrain.hpp:224:0: required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_matrix_t* = 0; stan::require_all_stan_scalar_t* = 0; stan::require_var_t::type>* = 0; stan::return_type_t = var_value]’ 224 | += ret.adj().array() * diff * inv_logit_x * (1.0 - inv_logit_x) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12878:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12877 | Theta_r_free = in__.template read_constrain_lub< 12878 | Eigen::Matrix, jacobian__>(-1, 12879 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lub_constrain.hpp:225:0: required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_matrix_t* = 0; stan::require_all_stan_scalar_t* = 0; stan::require_var_t::type>* = 0; stan::return_type_t = var_value]’ 225 | + lp.adj() * (1.0 - 2.0 * inv_logit_x); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12878:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12877 | Theta_r_free = in__.template read_constrain_lub< 12878 | Eigen::Matrix, jacobian__>(-1, 12879 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lub_constrain.hpp:225:0: required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_matrix_t* = 0; stan::require_all_stan_scalar_t* = 0; stan::require_var_t::type>* = 0; stan::return_type_t = var_value]’ 225 | + lp.adj() * (1.0 - 2.0 * inv_logit_x); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12878:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12877 | Theta_r_free = in__.template read_constrain_lub< 12878 | Eigen::Matrix, jacobian__>(-1, 12879 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lub_constrain.hpp:225:0: required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_matrix_t* = 0; stan::require_all_stan_scalar_t* = 0; stan::require_var_t::type>* = 0; stan::return_type_t = var_value]’ 225 | + lp.adj() * (1.0 - 2.0 * inv_logit_x); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12878:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12877 | Theta_r_free = in__.template read_constrain_lub< 12878 | Eigen::Matrix, jacobian__>(-1, 12879 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lub_constrain.hpp:225:0: required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_matrix_t* = 0; stan::require_all_stan_scalar_t* = 0; stan::require_var_t::type>* = 0; stan::return_type_t = var_value]’ 224 | += ret.adj().array() * diff * inv_logit_x * (1.0 - inv_logit_x) 225 | + lp.adj() * (1.0 - 2.0 * inv_logit_x); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12878:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12877 | Theta_r_free = in__.template read_constrain_lub< 12878 | Eigen::Matrix, jacobian__>(-1, 12879 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/lub_constrain.hpp:231:0: required from ‘auto stan::math::lub_constrain(const T&, const L&, const U&, stan::return_type_t&) [with T = Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >; L = int; U = int; stan::require_matrix_t* = 0; stan::require_all_stan_scalar_t* = 0; stan::require_var_t::type>* = 0; stan::return_type_t = var_value]’ 231 | += (ret.adj().array() * (1.0 - inv_logit_x)).sum() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:441:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 441 | return stan::math::lub_constrain(this->read(sizes...), lb, ub, lp); stanExports_stanmarg.h:12878:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12877 | Theta_r_free = in__.template read_constrain_lub< 12878 | Eigen::Matrix, jacobian__>(-1, 12879 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/ub_constrain.hpp:163:0: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:443:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 443 | return stan::math::lub_constrain(this->read(sizes...), lb, ub); stanExports_stanmarg.h:12878:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12877 | Theta_r_free = in__.template read_constrain_lub< 12878 | Eigen::Matrix, jacobian__>(-1, 12879 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from ‘static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::inv_logit_fun; T = Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >]’ 62 | return x.unaryExpr([](auto&& x) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~ 63 | return apply_scalar_unary>::apply(x); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | }); | ~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:443:0: required from ‘auto stan::io::deserializer::read_constrain_lub(const LB&, const UB&, LP&, Sizes ...) [with Ret = Eigen::Matrix, -1, 1>; bool Jacobian = true; LB = int; UB = int; LP = stan::math::var_value; Sizes = {int}; T = stan::math::var_value]’ 443 | return stan::math::lub_constrain(this->read(sizes...), lb, ub); stanExports_stanmarg.h:12878:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12877 | Theta_r_free = in__.template read_constrain_lub< 12878 | Eigen::Matrix, jacobian__>(-1, 12879 | 1, lp__, Theta_r_free_1dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:113:0: required from ‘auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, -1>; VarMat2 = Eigen::Transpose, -1, -1> >; stan::require_all_rev_matrix_t* = 0]’ 113 | using op_ret_type = decltype(a.val() + b.val()); stanExports_stanmarg.h:13269:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13269 | stan::math::add( 13270 | stan::model::rvalue(T_r_lower, "T_r_lower", 13271 | stan::model::index_uni(g)), 13272 | stan::math::transpose( 13273 | stan::model::rvalue(T_r_lower, "T_r_lower", 13274 | stan::model::index_uni(g)))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1> > >::val_Op, const Eigen::Transpose, -1, -1> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1> > >::val_Op, const Eigen::Transpose, -1, -1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1> > >::val_Op, const Eigen::Transpose, -1, -1> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, -1> > >::val_Op, const Eigen::Transpose, -1, -1> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, -1> > >::val_Op, const Eigen::Transpose, -1, -1> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:113:0: required from ‘auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, -1>; VarMat2 = Eigen::Transpose, -1, -1> >; stan::require_all_rev_matrix_t* = 0]’ 113 | using op_ret_type = decltype(a.val() + b.val()); stanExports_stanmarg.h:13269:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13269 | stan::math::add( 13270 | stan::model::rvalue(T_r_lower, "T_r_lower", 13271 | stan::model::index_uni(g)), 13272 | stan::math::transpose( 13273 | stan::model::rvalue(T_r_lower, "T_r_lower", 13274 | stan::model::index_uni(g)))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1> > >::val_Op, const Eigen::Transpose, -1, -1> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1> > >::val_Op, const Eigen::Transpose, -1, -1> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1> > >::val_Op, const Eigen::Transpose, -1, -1> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1> > >::val_Op, const Eigen::Transpose, -1, -1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1> > >::val_Op, const Eigen::Transpose, -1, -1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:80:65: required from ‘struct stan::is_any_var_matrix, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1, 0, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1> > >::val_Op, const Eigen::Transpose, -1, -1, 0, -1, -1> > > >, Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::Transpose, -1, -1, 0, -1, -1> > >’ 80 | : bool_constant...>::value> {}; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix::value), stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1> > >::val_Op, const Eigen::Transpose, -1, -1> > > >; Types = {Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::Transpose, -1, -1, 0, -1, -1> >}]’ 23 | is_any_var_matrix::value, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:114:0: required from ‘auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, -1>; VarMat2 = Eigen::Transpose, -1, -1> >; stan::require_all_rev_matrix_t* = 0]’ 114 | using ret_type = return_var_matrix_t; stanExports_stanmarg.h:13269:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13269 | stan::math::add( 13270 | stan::model::rvalue(T_r_lower, "T_r_lower", 13271 | stan::model::index_uni(g)), 13272 | stan::math::transpose( 13273 | stan::model::rvalue(T_r_lower, "T_r_lower", 13274 | stan::model::index_uni(g)))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:117:0: required from ‘auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, -1>; VarMat2 = Eigen::Transpose, -1, -1> >; stan::require_all_rev_matrix_t* = 0]’ 117 | arena_t ret(arena_a.val() + arena_b.val()); stanExports_stanmarg.h:13269:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13269 | stan::math::add( 13270 | stan::model::rvalue(T_r_lower, "T_r_lower", 13271 | stan::model::index_uni(g)), 13272 | stan::math::transpose( 13273 | stan::model::rvalue(T_r_lower, "T_r_lower", 13274 | stan::model::index_uni(g)))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:117:0: required from ‘auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, -1>; VarMat2 = Eigen::Transpose, -1, -1> >; stan::require_all_rev_matrix_t* = 0]’ 117 | arena_t ret(arena_a.val() + arena_b.val()); stanExports_stanmarg.h:13269:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13269 | stan::math::add( 13270 | stan::model::rvalue(T_r_lower, "T_r_lower", 13271 | stan::model::index_uni(g)), 13272 | stan::math::transpose( 13273 | stan::model::rvalue(T_r_lower, "T_r_lower", 13274 | stan::model::index_uni(g)))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:117:0: required from ‘auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, -1>; VarMat2 = Eigen::Transpose, -1, -1> >; stan::require_all_rev_matrix_t* = 0]’ 117 | arena_t ret(arena_a.val() + arena_b.val()); stanExports_stanmarg.h:13269:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13269 | stan::math::add( 13270 | stan::model::rvalue(T_r_lower, "T_r_lower", 13271 | stan::model::index_uni(g)), 13272 | stan::math::transpose( 13273 | stan::model::rvalue(T_r_lower, "T_r_lower", 13274 | stan::model::index_uni(g)))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:123:0: required from ‘auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, -1>; VarMat2 = Eigen::Transpose, -1, -1> >; stan::require_all_rev_matrix_t* = 0]’ 123 | arena_b.adj().coeffRef(i, j) += ref_adj; stanExports_stanmarg.h:13269:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13269 | stan::math::add( 13270 | stan::model::rvalue(T_r_lower, "T_r_lower", 13271 | stan::model::index_uni(g)), 13272 | stan::math::transpose( 13273 | stan::model::rvalue(T_r_lower, "T_r_lower", 13274 | stan::model::index_uni(g)))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:154:0: required from ‘auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = Eigen::Matrix; VarMat = Eigen::Matrix, -1, -1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 154 | (a.val().array() - as_array_or_scalar(b)).matrix())>; stanExports_stanmarg.h:13268:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13268 | stan::math::subtract( 13269 | stan::math::add( 13270 | stan::model::rvalue(T_r_lower, "T_r_lower", 13271 | stan::model::index_uni(g)), 13272 | stan::math::transpose( 13273 | stan::model::rvalue(T_r_lower, "T_r_lower", 13274 | stan::model::index_uni(g)))), 13275 | stan::math::diag_matrix(stan::math::rep_vector(1, p))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:154:0: required from ‘auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = Eigen::Matrix; VarMat = Eigen::Matrix, -1, -1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 154 | (a.val().array() - as_array_or_scalar(b)).matrix())>; stanExports_stanmarg.h:13268:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13268 | stan::math::subtract( 13269 | stan::math::add( 13270 | stan::model::rvalue(T_r_lower, "T_r_lower", 13271 | stan::model::index_uni(g)), 13272 | stan::math::transpose( 13273 | stan::model::rvalue(T_r_lower, "T_r_lower", 13274 | stan::model::index_uni(g)))), 13275 | stan::math::diag_matrix(stan::math::rep_vector(1, p))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:22:7: recursively required by substitution of ‘template struct stan::plain_type, stan::is_eigen::type> >::value, void>::type> [with T = const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper > > >]’ 22 | using plain_type_t = typename plain_type::type; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:22:7: required by substitution of ‘template using stan::plain_type_t = typename stan::plain_type::type [with T = const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper > > >]’ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:153:0: required from ‘auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = Eigen::Matrix; VarMat = Eigen::Matrix, -1, -1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 153 | using op_ret_type = plain_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13268 | stan::math::subtract( 13269 | stan::math::add( 13270 | stan::model::rvalue(T_r_lower, "T_r_lower", 13271 | stan::model::index_uni(g)), 13272 | stan::math::transpose( 13273 | stan::model::rvalue(T_r_lower, "T_r_lower", 13274 | stan::model::index_uni(g)))), 13275 | stan::math::diag_matrix(stan::math::rep_vector(1, p))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:157:0: required from ‘auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = Eigen::Matrix; VarMat = Eigen::Matrix, -1, -1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 157 | arena_t ret(arena_a.val().array() - as_array_or_scalar(b)); stanExports_stanmarg.h:13268:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13268 | stan::math::subtract( 13269 | stan::math::add( 13270 | stan::model::rvalue(T_r_lower, "T_r_lower", 13271 | stan::model::index_uni(g)), 13272 | stan::math::transpose( 13273 | stan::model::rvalue(T_r_lower, "T_r_lower", 13274 | stan::model::index_uni(g)))), 13275 | stan::math::diag_matrix(stan::math::rep_vector(1, p))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:157:0: required from ‘auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = Eigen::Matrix; VarMat = Eigen::Matrix, -1, -1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 157 | arena_t ret(arena_a.val().array() - as_array_or_scalar(b)); stanExports_stanmarg.h:13268:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13268 | stan::math::subtract( 13269 | stan::math::add( 13270 | stan::model::rvalue(T_r_lower, "T_r_lower", 13271 | stan::model::index_uni(g)), 13272 | stan::math::transpose( 13273 | stan::model::rvalue(T_r_lower, "T_r_lower", 13274 | stan::model::index_uni(g)))), 13275 | stan::math::diag_matrix(stan::math::rep_vector(1, p))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:50: required from ‘stan::math::as_array_or_scalar, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map, 0, Eigen::Stride<0, 0> >&):: [with auto:13 = const Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 57 | return make_holder([](auto& x) { return x.array(); }, std::forward(v)); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:180:0: required from ‘auto stan::math::subtract(const Arith&, const VarMat&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, -1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 180 | (as_array_or_scalar(a) - b.val().array()).matrix())>; stanExports_stanmarg.h:13482:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13482 | stan::math::subtract(I, 13483 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:180:0: required from ‘auto stan::math::subtract(const Arith&, const VarMat&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, -1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 180 | (as_array_or_scalar(a) - b.val().array()).matrix())>; stanExports_stanmarg.h:13482:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13482 | stan::math::subtract(I, 13483 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:22:7: recursively required by substitution of ‘template struct stan::plain_type, stan::is_eigen::type> >::value, void>::type> [with T = const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > > > >]’ 22 | using plain_type_t = typename plain_type::type; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:22:7: required by substitution of ‘template using stan::plain_type_t = typename stan::plain_type::type [with T = const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > > > >]’ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:179:0: required from ‘auto stan::math::subtract(const Arith&, const VarMat&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, -1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 179 | using op_ret_type = plain_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13482 | stan::math::subtract(I, 13483 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:183:0: required from ‘auto stan::math::subtract(const Arith&, const VarMat&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, -1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 183 | arena_t ret(as_array_or_scalar(a) - arena_b.val().array()); stanExports_stanmarg.h:13482:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13482 | stan::math::subtract(I, 13483 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:185:0: required from ‘auto stan::math::subtract(const Arith&, const VarMat&) [with Arith = Eigen::Map, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix, -1, -1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 185 | [ret, arena_b]() mutable { arena_b.adj() -= ret.adj_op(); }); stanExports_stanmarg.h:13482:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13482 | stan::math::subtract(I, 13483 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:80:65: required from ‘struct stan::is_any_var_matrix, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1, 0, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1, 0, -1, -1> > >, Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::Matrix, -1, -1, 0, -1, -1> >’ 80 | : bool_constant...>::value> {}; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix::value), stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >; Types = {Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::Matrix, -1, -1, 0, -1, -1>}]’ 23 | is_any_var_matrix::value, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:114:0: required from ‘auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, -1>; VarMat2 = Eigen::Matrix, -1, -1>; stan::require_all_rev_matrix_t* = 0]’ 114 | using ret_type = return_var_matrix_t; stanExports_stanmarg.h:13523:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13523 | stan::math::add( 13524 | stan::model::deep_copy( 13525 | stan::model::rvalue(Sigma, "Sigma", 13526 | stan::model::index_uni(g), 13527 | stan::model::index_min_max(1, p), 13528 | stan::model::index_min_max(1, p))), 13529 | stan::math::quad_form_sym( 13530 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 13531 | stan::math::transpose( 13532 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13533 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:117:0: required from ‘auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, -1>; VarMat2 = Eigen::Matrix, -1, -1>; stan::require_all_rev_matrix_t* = 0]’ 117 | arena_t ret(arena_a.val() + arena_b.val()); stanExports_stanmarg.h:13523:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13523 | stan::math::add( 13524 | stan::model::deep_copy( 13525 | stan::model::rvalue(Sigma, "Sigma", 13526 | stan::model::index_uni(g), 13527 | stan::model::index_min_max(1, p), 13528 | stan::model::index_min_max(1, p))), 13529 | stan::math::quad_form_sym( 13530 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 13531 | stan::math::transpose( 13532 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13533 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:80:65: required from ‘struct stan::is_any_var_matrix, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::VectorBlock, -1, -1, 0, -1, -1>, -1, 1, true>, -1> >’ 80 | : bool_constant...>::value> {}; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix::value), stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Types = {Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::VectorBlock, -1, -1, 0, -1, -1>, -1, 1, true>, -1>}]’ 23 | is_any_var_matrix::value, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:36:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 36 | using return_t stanExports_stanmarg.h:13546:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13546 | stan::math::multiply( 13547 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13548 | stan::model::index_uni(g)), 13549 | stan::model::rvalue(Alpha, "Alpha", 13550 | stan::model::index_uni(g), 13551 | stan::model::index_min_max(1, m), 13552 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 43 | arena_A.adj() += res.adj_op() * arena_B_val.transpose(); stanExports_stanmarg.h:13546:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13546 | stan::math::multiply( 13547 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13548 | stan::model::index_uni(g)), 13549 | stan::model::rvalue(Alpha, "Alpha", 13550 | stan::model::index_uni(g), 13551 | stan::model::index_min_max(1, m), 13552 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 43 | arena_A.adj() += res.adj_op() * arena_B_val.transpose(); stanExports_stanmarg.h:13546:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13546 | stan::math::multiply( 13547 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13548 | stan::model::index_uni(g)), 13549 | stan::model::rvalue(Alpha, "Alpha", 13550 | stan::model::index_uni(g), 13551 | stan::model::index_min_max(1, m), 13552 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 43 | arena_A.adj() += res.adj_op() * arena_B_val.transpose(); stanExports_stanmarg.h:13546:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13546 | stan::math::multiply( 13547 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13548 | stan::model::index_uni(g)), 13549 | stan::model::rvalue(Alpha, "Alpha", 13550 | stan::model::index_uni(g), 13551 | stan::model::index_min_max(1, m), 13552 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 44 | arena_B.adj() += arena_A_val.transpose() * res.adj_op(); stanExports_stanmarg.h:13546:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13546 | stan::math::multiply( 13547 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13548 | stan::model::index_uni(g)), 13549 | stan::model::rvalue(Alpha, "Alpha", 13550 | stan::model::index_uni(g), 13551 | stan::model::index_min_max(1, m), 13552 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:47:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 47 | arena_A.adj() += res_adj * arena_B_val.transpose(); stanExports_stanmarg.h:13546:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13546 | stan::math::multiply( 13547 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13548 | stan::model::index_uni(g)), 13549 | stan::model::rvalue(Alpha, "Alpha", 13550 | stan::model::index_uni(g), 13551 | stan::model::index_min_max(1, m), 13552 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 48 | arena_B.adj() += arena_A_val.transpose() * res_adj; stanExports_stanmarg.h:13546:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13546 | stan::math::multiply( 13547 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13548 | stan::model::index_uni(g)), 13549 | stan::model::rvalue(Alpha, "Alpha", 13550 | stan::model::index_uni(g), 13551 | stan::model::index_min_max(1, m), 13552 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:27: required from ‘stan::math::value_of, -1, -1>&>(const Eigen::Matrix, -1, -1>&):: [with auto:11 = const Eigen::Matrix, -1, -1>]’ 75 | return a.unaryExpr([](const auto& scal) { return value_of(scal); }); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:53:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 53 | arena_t> arena_A = value_of(A); stanExports_stanmarg.h:13546:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13546 | stan::math::multiply( 13547 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13548 | stan::model::index_uni(g)), 13549 | stan::model::rvalue(Alpha, "Alpha", 13550 | stan::model::index_uni(g), 13551 | stan::model::index_min_max(1, m), 13552 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, -1, 1, true>, -1>&>(const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>&)::::, const Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, -1, 1, true>, -1>&>(const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>&)::::, const Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, -1, 1, true>, -1>&>(const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>&)::::, const Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, -1>, -1, 1, true>, -1>&>(const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>&)::::, const Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, -1>, -1, 1, true>, -1>&>(const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>&)::::, const Eigen::Block, -1, -1>, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:27: required from ‘stan::math::value_of, -1, -1>, -1, 1, true>, -1>&>(const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>&):: [with auto:11 = const Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>]’ 75 | return a.unaryExpr([](const auto& scal) { return value_of(scal); }); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:56:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 56 | = return_var_matrix_t; stanExports_stanmarg.h:13546:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13546 | stan::math::multiply( 13547 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13548 | stan::model::index_uni(g)), 13549 | stan::model::rvalue(Alpha, "Alpha", 13550 | stan::model::index_uni(g), 13551 | stan::model::index_min_max(1, m), 13552 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:80:65: required from ‘struct stan::is_any_var_matrix, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::VectorBlock, -1, -1, 0, -1, -1>, -1, 1, true>, -1> >’ 80 | : bool_constant...>::value> {}; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix::value), stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Types = {Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::VectorBlock, -1, -1, 0, -1, -1>, -1, 1, true>, -1>}]’ 23 | is_any_var_matrix::value, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:55:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 55 | using return_t stanExports_stanmarg.h:13546:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13546 | stan::math::multiply( 13547 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13548 | stan::model::index_uni(g)), 13549 | stan::model::rvalue(Alpha, "Alpha", 13550 | stan::model::index_uni(g), 13551 | stan::model::index_min_max(1, m), 13552 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 57 | arena_t res = arena_A * arena_B.val_op(); stanExports_stanmarg.h:13546:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13546 | stan::math::multiply( 13547 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13548 | stan::model::index_uni(g)), 13549 | stan::model::rvalue(Alpha, "Alpha", 13550 | stan::model::index_uni(g), 13551 | stan::model::index_min_max(1, m), 13552 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 57 | arena_t res = arena_A * arena_B.val_op(); stanExports_stanmarg.h:13546:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13546 | stan::math::multiply( 13547 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13548 | stan::model::index_uni(g)), 13549 | stan::model::rvalue(Alpha, "Alpha", 13550 | stan::model::index_uni(g), 13551 | stan::model::index_min_max(1, m), 13552 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, void>&>(arena_matrix, -1, -1>, void>&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, void>&>(arena_matrix, -1, -1>, void>&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, void>&>(arena_matrix, -1, -1>, void>&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, -1>, void>&>(arena_matrix, -1, -1>, void>&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, -1>, void>&>(arena_matrix, -1, -1>, void>&)::::, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:27: required from ‘stan::math::value_of, -1, -1>, void>&>(arena_matrix, -1, -1>, void>&):: [with auto:11 = stan::math::arena_matrix, -1, -1>, void>]’ 75 | return a.unaryExpr([](const auto& scal) { return value_of(scal); }); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:66:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 66 | = return_var_matrix_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13546 | stan::math::multiply( 13547 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13548 | stan::model::index_uni(g)), 13549 | stan::model::rvalue(Alpha, "Alpha", 13550 | stan::model::index_uni(g), 13551 | stan::model::index_min_max(1, m), 13552 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:80:65: required from ‘struct stan::is_any_var_matrix, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::VectorBlock, -1, -1, 0, -1, -1>, -1, 1, true>, -1> >’ 80 | : bool_constant...>::value> {}; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix::value), stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Types = {Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::VectorBlock, -1, -1, 0, -1, -1>, -1, 1, true>, -1>}]’ 23 | is_any_var_matrix::value, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:65:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 65 | using return_t stanExports_stanmarg.h:13546:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13546 | stan::math::multiply( 13547 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13548 | stan::model::index_uni(g)), 13549 | stan::model::rvalue(Alpha, "Alpha", 13550 | stan::model::index_uni(g), 13551 | stan::model::index_min_max(1, m), 13552 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 68 | arena_t res = arena_A.val_op() * arena_B; stanExports_stanmarg.h:13546:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13546 | stan::math::multiply( 13547 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13548 | stan::model::index_uni(g)), 13549 | stan::model::rvalue(Alpha, "Alpha", 13550 | stan::model::index_uni(g), 13551 | stan::model::index_min_max(1, m), 13552 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 68 | arena_t res = arena_A.val_op() * arena_B; stanExports_stanmarg.h:13546:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13546 | stan::math::multiply( 13547 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13548 | stan::model::index_uni(g)), 13549 | stan::model::rvalue(Alpha, "Alpha", 13550 | stan::model::index_uni(g), 13551 | stan::model::index_min_max(1, m), 13552 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:113:0: required from ‘auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, 1>; VarMat2 = Eigen::Matrix, -1, 1>; stan::require_all_rev_matrix_t* = 0]’ 113 | using op_ret_type = decltype(a.val() + b.val()); stanExports_stanmarg.h:13541:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13541 | stan::math::add( 13542 | stan::model::deep_copy( 13543 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(g), 13544 | stan::model::index_min_max(1, p))), 13545 | stan::math::to_vector( 13546 | stan::math::multiply( 13547 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13548 | stan::model::index_uni(g)), 13549 | stan::model::rvalue(Alpha, "Alpha", 13550 | stan::model::index_uni(g), 13551 | stan::model::index_min_max(1, m), 13552 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:80:65: required from ‘struct stan::is_any_var_matrix, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1, 0, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1, 0, -1, 1> > >, Eigen::Matrix, -1, 1, 0, -1, 1>, Eigen::Matrix, -1, 1, 0, -1, 1> >’ 80 | : bool_constant...>::value> {}; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix::value), stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> >, const Eigen::CwiseUnaryOp, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >; Types = {Eigen::Matrix, -1, 1, 0, -1, 1>, Eigen::Matrix, -1, 1, 0, -1, 1>}]’ 23 | is_any_var_matrix::value, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:114:0: required from ‘auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, 1>; VarMat2 = Eigen::Matrix, -1, 1>; stan::require_all_rev_matrix_t* = 0]’ 114 | using ret_type = return_var_matrix_t; stanExports_stanmarg.h:13541:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13541 | stan::math::add( 13542 | stan::model::deep_copy( 13543 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(g), 13544 | stan::model::index_min_max(1, p))), 13545 | stan::math::to_vector( 13546 | stan::math::multiply( 13547 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13548 | stan::model::index_uni(g)), 13549 | stan::model::rvalue(Alpha, "Alpha", 13550 | stan::model::index_uni(g), 13551 | stan::model::index_min_max(1, m), 13552 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:117:0: required from ‘auto stan::math::add(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, 1>; VarMat2 = Eigen::Matrix, -1, 1>; stan::require_all_rev_matrix_t* = 0]’ 117 | arena_t ret(arena_a.val() + arena_b.val()); stanExports_stanmarg.h:13541:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13541 | stan::math::add( 13542 | stan::model::deep_copy( 13543 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(g), 13544 | stan::model::index_min_max(1, p))), 13545 | stan::math::to_vector( 13546 | stan::math::multiply( 13547 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13548 | stan::model::index_uni(g)), 13549 | stan::model::rvalue(Alpha, "Alpha", 13550 | stan::model::index_uni(g), 13551 | stan::model::index_min_max(1, m), 13552 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:147:0: required from ‘auto stan::math::add(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 147 | = decltype((a.val().array() + as_array_or_scalar(b)).matrix()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:169:0: required from ‘auto stan::math::add(const Arith&, const VarMat&) [with Arith = int; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 169 | return add(b, a); stanExports_stanmarg.h:14612:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14612 | stan::math::add(1, Theta_r_free)), theta_r_alpha, stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:147:0: required from ‘auto stan::math::add(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 147 | = decltype((a.val().array() + as_array_or_scalar(b)).matrix()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:169:0: required from ‘auto stan::math::add(const Arith&, const VarMat&) [with Arith = int; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 169 | return add(b, a); stanExports_stanmarg.h:14612:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14612 | stan::math::add(1, Theta_r_free)), theta_r_alpha, stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: required from ‘struct stan::is_base_pointer_convertible, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 29 | = decltype(f(std::declval *>()))::value | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:21:71: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix::value), stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Types = {Eigen::Matrix, -1, 1, 0, -1, 1>}]’ 23 | is_any_var_matrix::value, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:148:0: required from ‘auto stan::math::add(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 148 | using ret_type = return_var_matrix_t; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:169:0: required from ‘auto stan::math::add(const Arith&, const VarMat&) [with Arith = int; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 169 | return add(b, a); stanExports_stanmarg.h:14612:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14612 | stan::math::add(1, Theta_r_free)), theta_r_alpha, stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:150:0: required from ‘auto stan::math::add(const VarMat&, const Arith&) [with Arith = int; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 150 | arena_t ret(arena_a.val().array() + as_array_or_scalar(b)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:169:0: required from ‘auto stan::math::add(const Arith&, const VarMat&) [with Arith = int; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 169 | return add(b, a); stanExports_stanmarg.h:14612:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14612 | stan::math::add(1, Theta_r_free)), theta_r_alpha, stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = double; T2 = Eigen::Matrix, -1, 1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 145 | arena_t res = arena_A.val() * arena_B.val().array(); stanExports_stanmarg.h:14611:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14611 | stan::math::multiply(.5, 14612 | stan::math::add(1, Theta_r_free)), theta_r_alpha, stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:163:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = double; T2 = Eigen::Matrix, -1, 1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 163 | arena_B.adj().array() += arena_A * res.adj().array(); stanExports_stanmarg.h:14611:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14611 | stan::math::multiply(.5, 14612 | stan::math::add(1, Theta_r_free)), theta_r_alpha, stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:170:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = double; T2 = Eigen::Matrix, -1, 1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 170 | arena_t res = arena_A.val() * arena_B.array(); stanExports_stanmarg.h:14611:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14611 | stan::math::multiply(.5, 14612 | stan::math::add(1, Theta_r_free)), theta_r_alpha, stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:170:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = double; T2 = Eigen::Matrix, -1, 1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 170 | arena_t res = arena_A.val() * arena_B.array(); stanExports_stanmarg.h:14611:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14611 | stan::math::multiply(.5, 14612 | stan::math::add(1, Theta_r_free)), theta_r_alpha, stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:172:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = double; T2 = Eigen::Matrix, -1, 1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 172 | arena_A.adj() += (res.adj().array() * arena_B.array()).sum(); stanExports_stanmarg.h:14611:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14611 | stan::math::multiply(.5, 14612 | stan::math::add(1, Theta_r_free)), theta_r_alpha, stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Transpose >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Transpose > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:40:13: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~~~ 40 | .solve(Eigen::Matrix(b) | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 41 | .transpose()) | ~~~~~~~~~~~~~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Transpose > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Transpose > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:42:17: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~~~ 40 | .solve(Eigen::Matrix(b) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 41 | .transpose()) | ~~~~~~~~~~~~~ 42 | .transpose(); | ~~~~~~~~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:26: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~^~~~~~~ stanExports_stanmarg.h:15659:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15659 | stan::math::quad_form_sym( 15660 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15661 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:34: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ stanExports_stanmarg.h:15659:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15659 | stan::math::quad_form_sym( 15660 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15661 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:40: required from ‘stan::math::quad_form_sym, Eigen::Matrix >(const Eigen::Matrix&, const Eigen::Matrix&):: [with auto:377 = Eigen::Matrix]’ 36 | [](const auto& ret) { return 0.5 * (ret + ret.transpose()); }, | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::quad_form_sym, Eigen::Matrix >(const Eigen::Matrix&, const Eigen::Matrix&)::; Args = {const Eigen::Matrix}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:35:21: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 35 | return make_holder( | ~~~~~~~~~~~^ 36 | [](const auto& ret) { return 0.5 * (ret + ret.transpose()); }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:15659:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15659 | stan::math::quad_form_sym( 15660 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15661 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:115:7: required from ‘class stan::math::Holder, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, const Eigen::Matrix >’ 115 | class Holder | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:312:16: required from ‘auto stan::math::internal::make_holder_impl_construct_object(T&&, std::index_sequence, const std::tuple&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >; long unsigned int ...Is = {0}; Args = {const Eigen::Matrix}; std::index_sequence = std::integer_sequence]’ 312 | return holder(std::forward(expr), std::get(ptrs)...); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:330:43: required from ‘auto stan::math::internal::make_holder_impl(const F&, std::index_sequence, Args&& ...) [with F = stan::math::quad_form_sym, Eigen::Matrix >(const Eigen::Matrix&, const Eigen::Matrix&)::; long unsigned int ...Is = {0}; Args = {const Eigen::Matrix}; std::index_sequence = std::integer_sequence]’ 330 | return make_holder_impl_construct_object( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 331 | func(*std::get(res)...), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 332 | std::make_index_sequence::value>(), ptrs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:353:36: required from ‘auto stan::math::make_holder(const F&, Args&& ...) [with F = quad_form_sym, Eigen::Matrix >(const Eigen::Matrix&, const Eigen::Matrix&)::; Args = {const Eigen::Matrix}; stan::require_not_plain_type_t()((declval)()...))>* = 0]’ 353 | return internal::make_holder_impl(func, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 354 | std::make_index_sequence(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 355 | std::forward(args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:35:21: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 35 | return make_holder( | ~~~~~~~~~~~^ 36 | [](const auto& ret) { return 0.5 * (ret + ret.transpose()); }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:15659:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15659 | stan::math::quad_form_sym( 15660 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15661 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:26: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~^~~~~~~ stanExports_stanmarg.h:15701:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15701 | stan::math::quad_form_sym( 15702 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15703 | stan::math::transpose( 15704 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15705 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:34: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ stanExports_stanmarg.h:15701:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15701 | stan::math::quad_form_sym( 15702 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15703 | stan::math::transpose( 15704 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15705 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:47: required from ‘stan::math::quad_form_sym, Eigen::Transpose > >(const Eigen::Matrix&, const Eigen::Transpose >&):: [with auto:377 = Eigen::Matrix]’ 36 | [](const auto& ret) { return 0.5 * (ret + ret.transpose()); }, | ~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::quad_form_sym, Eigen::Transpose > >(const Eigen::Matrix&, const Eigen::Transpose >&)::; Args = {const Eigen::Matrix}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:35:21: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 35 | return make_holder( | ~~~~~~~~~~~^ 36 | [](const auto& ret) { return 0.5 * (ret + ret.transpose()); }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:15701:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15701 | stan::math::quad_form_sym( 15702 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15703 | stan::math::transpose( 15704 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15705 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:36:40: required from ‘stan::math::quad_form_sym, Eigen::Transpose > >(const Eigen::Matrix&, const Eigen::Transpose >&):: [with auto:377 = Eigen::Matrix]’ 36 | [](const auto& ret) { return 0.5 * (ret + ret.transpose()); }, | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::quad_form_sym, Eigen::Transpose > >(const Eigen::Matrix&, const Eigen::Transpose >&)::; Args = {const Eigen::Matrix}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:35:21: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 35 | return make_holder( | ~~~~~~~~~~~^ 36 | [](const auto& ret) { return 0.5 * (ret + ret.transpose()); }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:15701:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15701 | stan::math::quad_form_sym( 15702 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15703 | stan::math::transpose( 15704 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15705 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:115:7: required from ‘class stan::math::Holder, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, const Eigen::Matrix >’ 115 | class Holder | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:312:16: required from ‘auto stan::math::internal::make_holder_impl_construct_object(T&&, std::index_sequence, const std::tuple&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >; long unsigned int ...Is = {0}; Args = {const Eigen::Matrix}; std::index_sequence = std::integer_sequence]’ 312 | return holder(std::forward(expr), std::get(ptrs)...); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:330:43: required from ‘auto stan::math::internal::make_holder_impl(const F&, std::index_sequence, Args&& ...) [with F = stan::math::quad_form_sym, Eigen::Transpose > >(const Eigen::Matrix&, const Eigen::Transpose >&)::; long unsigned int ...Is = {0}; Args = {const Eigen::Matrix}; std::index_sequence = std::integer_sequence]’ 330 | return make_holder_impl_construct_object( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 331 | func(*std::get(res)...), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 332 | std::make_index_sequence::value>(), ptrs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:353:36: required from ‘auto stan::math::make_holder(const F&, Args&& ...) [with F = quad_form_sym, Eigen::Transpose > >(const Eigen::Matrix&, const Eigen::Transpose >&)::; Args = {const Eigen::Matrix}; stan::require_not_plain_type_t()((declval)()...))>* = 0]’ 353 | return internal::make_holder_impl(func, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ 354 | std::make_index_sequence(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 355 | std::forward(args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:35:21: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 35 | return make_holder( | ~~~~~~~~~~~^ 36 | [](const auto& ret) { return 0.5 * (ret + ret.transpose()); }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:15701:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15701 | stan::math::quad_form_sym( 15702 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15703 | stan::math::transpose( 15704 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15705 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ 59 | template class RefBase | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:329:77: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ 329 | template class Ref | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/inverse_spd.hpp:31:49: required from ‘Eigen::Matrix::type, -1, -1> stan::math::inverse_spd(const EigMat&) [with EigMat = Eigen::Matrix; typename stan::value_type::type = double]’ 31 | const Eigen::Ref>& m_ref = m; | ^~~~~ stanExports_stanmarg.h:16219:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16219 | stan::math::inverse_spd( 16220 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/inverse_spd.hpp:33:60: required from ‘Eigen::Matrix::type, -1, -1> stan::math::inverse_spd(const EigMat&) [with EigMat = Eigen::Matrix; typename stan::value_type::type = double]’ 33 | plain_type_t mmt = 0.5 * (m_ref + m_ref.transpose()); | ~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16219:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16219 | stan::math::inverse_spd( 16220 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Transpose, 0, Eigen::OuterStride<> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Transpose, 0, Eigen::OuterStride<> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Transpose, 0, Eigen::OuterStride<> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Transpose, 0, Eigen::OuterStride<> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Transpose, 0, Eigen::OuterStride<> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/inverse_spd.hpp:33:43: required from ‘Eigen::Matrix::type, -1, -1> stan::math::inverse_spd(const EigMat&) [with EigMat = Eigen::Matrix; typename stan::value_type::type = double]’ 33 | plain_type_t mmt = 0.5 * (m_ref + m_ref.transpose()); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:16219:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16219 | stan::math::inverse_spd( 16220 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Transpose, 0, Eigen::OuterStride<> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Transpose, 0, Eigen::OuterStride<> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Transpose, 0, Eigen::OuterStride<> > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Transpose, 0, Eigen::OuterStride<> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Transpose, 0, Eigen::OuterStride<> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/inverse_spd.hpp:33:34: required from ‘Eigen::Matrix::type, -1, -1> stan::math::inverse_spd(const EigMat&) [with EigMat = Eigen::Matrix; typename stan::value_type::type = double]’ 33 | plain_type_t mmt = 0.5 * (m_ref + m_ref.transpose()); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:16219:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16219 | stan::math::inverse_spd( 16220 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/inverse_spd.hpp:44:20: required from ‘Eigen::Matrix::type, -1, -1> stan::math::inverse_spd(const EigMat&) [with EigMat = Eigen::Matrix; typename stan::value_type::type = double]’ 44 | return ldlt.solve( | ~~~~~~~~~~^ 45 | Eigen::Matrix::Identity( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 46 | m.rows(), m.cols())); | ~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:16219:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16219 | stan::math::inverse_spd( 16220 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13: required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix; Mat2 = Eigen::Product >, Eigen::Matrix, 0>; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 - m2; | ~~~^~~~ stanExports_stanmarg.h:4426:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix; T4__ = double; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4426 | stan::math::subtract( 4427 | stan::model::rvalue(Sigmainv, "Sigmainv", 4428 | stan::model::index_multi( 4429 | stan::model::rvalue(obsidx, "obsidx", 4430 | stan::model::index_min_max(1, Nobs))), 4431 | stan::model::index_multi( 4432 | stan::model::rvalue(obsidx, "obsidx", 4433 | stan::model::index_min_max(1, Nobs)))), 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:16232:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16232 | sig_inv_update( 16233 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 16234 | stan::model::index_uni( 16235 | stan::model::rvalue(grpnum, "grpnum", 16236 | stan::model::index_uni(patt)))), 16237 | stan::model::rvalue(Obsvar, "Obsvar", 16238 | stan::model::index_uni(patt), stan::model::index_omni()), 16239 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 16240 | (p + q), 16241 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 16242 | stan::model::index_uni( 16243 | stan::model::rvalue(grpnum, "grpnum", 16244 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_cholesky_rng.hpp:72:55: required from ‘typename stan::StdVectorBuilder, T_loc>::type stan::math::multi_normal_cholesky_rng(const T_loc&, const Eigen::Matrix&, RNG&) [with T_loc = Eigen::Matrix; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; typename stan::StdVectorBuilder, T_loc>::type = Eigen::Matrix]’ 72 | output[n] = as_column_vector_or_scalar(mu_vec[n]) + L_ref * z; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ stanExports_stanmarg.h:17113:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17113 | stan::math::multi_normal_cholesky_rng( 17114 | stan::model::rvalue(Mu_c, "Mu_c", 17115 | stan::model::index_uni(gg)), Sigma_c_chol, base_rng__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >’ 513 | typedef typename _CastType::Scalar NewScalarType; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/append_col.hpp:49:53: required from ‘auto stan::math::append_col(const T1&, const T2&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; = void]’ 49 | result.leftCols(Acols) = A.template cast(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:2837:0: required from ‘Eigen::Matrix::type, typename stan::base_type::type>::type, -1, -1> model_stanmarg_namespace::calc_B_tilde(const T0__&, const T1__&, const std::vector&, const int&, std::ostream*) [with T0__ = Eigen::Matrix; T1__ = Eigen::Matrix; stan::require_all_t, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 2837 | stan::model::assign(out, stan::math::append_col(mu2, sig2), stanExports_stanmarg.h:17120:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17120 | calc_B_tilde( 17121 | stan::model::rvalue(Sigma_c, "Sigma_c", 17122 | stan::model::index_uni(gg)), YXstar_rep_c, ov_idx2, 17123 | p_tilde, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >’ 513 | typedef typename _CastType::Scalar NewScalarType; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/append_col.hpp:50:54: required from ‘auto stan::math::append_col(const T1&, const T2&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; = void]’ 50 | result.rightCols(Bcols) = B.template cast(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:2837:0: required from ‘Eigen::Matrix::type, typename stan::base_type::type>::type, -1, -1> model_stanmarg_namespace::calc_B_tilde(const T0__&, const T1__&, const std::vector&, const int&, std::ostream*) [with T0__ = Eigen::Matrix; T1__ = Eigen::Matrix; stan::require_all_t, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 2837 | stan::model::assign(out, stan::math::append_col(mu2, sig2), stanExports_stanmarg.h:17120:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17120 | calc_B_tilde( 17121 | stan::model::rvalue(Sigma_c, "Sigma_c", 17122 | stan::model::index_uni(gg)), YXstar_rep_c, ov_idx2, 17123 | p_tilde, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Matrix; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:17260:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17260 | stan::math::tcrossprod( 17261 | stan::math::to_matrix( 17262 | stan::math::subtract( 17263 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17264 | stan::model::index_uni(ii)), 17265 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17266 | stan::model::index_uni(clusidx)))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix; Mat2 = Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 + m2; | ~~~^~~~ stanExports_stanmarg.h:4566:0: required from ‘std::vector::type, -1, 1> > model_stanmarg_namespace::calc_mean_vecs(const std::vector >&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; stan::require_all_t, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4566 | stan::math::add(stan::model::deep_copy(ov_mean), 4567 | stan::model::rvalue(YXstar, "YXstar", stan::model::index_uni(i), 4568 | stan::model::index_multi( 4569 | stan::model::rvalue(Xvar, "Xvar", 4570 | stan::model::index_min_max(1, Nx))))), stanExports_stanmarg.h:17577:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17577 | calc_mean_vecs( 17578 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17579 | stan::model::index_min_max(rr1, (r1 - 1))), 17580 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17581 | stan::model::index_min_max(r2, (clusidx - 1))), 17582 | stan::model::rvalue(nclus, "nclus", 17583 | stan::model::index_uni(gg)), 17584 | stan::model::rvalue(Xvar, "Xvar", 17585 | stan::model::index_uni(gg)), 17586 | stan::model::rvalue(Xbetvar, "Xbetvar", 17587 | stan::model::index_uni(gg)), 17588 | stan::model::rvalue(Nx, "Nx", 17589 | stan::model::index_uni(gg)), 17590 | stan::model::rvalue(Nx_between, "Nx_between", 17591 | stan::model::index_uni(gg)), p_tilde, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix; Mat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 + m2; | ~~~^~~~ stanExports_stanmarg.h:4590:0: required from ‘std::vector::type, -1, 1> > model_stanmarg_namespace::calc_mean_vecs(const std::vector >&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; stan::require_all_t, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4590 | stan::math::add(stan::model::deep_copy(ov_mean_d), 4591 | stan::model::rvalue(mean_d, "mean_d", stan::model::index_uni(cc), 4592 | stan::model::index_min_max(1, Nx_between))), stanExports_stanmarg.h:17577:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17577 | calc_mean_vecs( 17578 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17579 | stan::model::index_min_max(rr1, (r1 - 1))), 17580 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17581 | stan::model::index_min_max(r2, (clusidx - 1))), 17582 | stan::model::rvalue(nclus, "nclus", 17583 | stan::model::index_uni(gg)), 17584 | stan::model::rvalue(Xvar, "Xvar", 17585 | stan::model::index_uni(gg)), 17586 | stan::model::rvalue(Xbetvar, "Xbetvar", 17587 | stan::model::index_uni(gg)), 17588 | stan::model::rvalue(Nx, "Nx", 17589 | stan::model::index_uni(gg)), 17590 | stan::model::rvalue(Nx_between, "Nx_between", 17591 | stan::model::index_uni(gg)), p_tilde, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13: required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; Mat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 - m2; | ~~~^~~~ stanExports_stanmarg.h:4686:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::calc_cov_mats(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4686 | stan::math::subtract( 4687 | stan::model::rvalue(YXstar, "YXstar", 4688 | stan::model::index_uni(i), 4689 | stan::model::index_multi( 4690 | stan::model::rvalue(Xvar, "Xvar", 4691 | stan::model::index_min_max(1, Nx)))), 4692 | stan::model::rvalue(mean_vecs, "mean_vecs", 4693 | stan::model::index_uni(1), 4694 | stan::model::index_min_max(1, Nx)))))), stanExports_stanmarg.h:17595:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17595 | calc_cov_mats( 17596 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17597 | stan::model::index_min_max(rr1, (r1 - 1))), 17598 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17599 | stan::model::index_min_max(r2, (clusidx - 1))), 17600 | mnvecs, 17601 | stan::model::rvalue(nclus, "nclus", 17602 | stan::model::index_uni(gg)), 17603 | stan::model::rvalue(Xvar, "Xvar", 17604 | stan::model::index_uni(gg)), 17605 | stan::model::rvalue(Xbetvar, "Xbetvar", 17606 | stan::model::index_uni(gg)), 17607 | stan::model::rvalue(Nx, "Nx", 17608 | stan::model::index_uni(gg)), 17609 | stan::model::rvalue(Nx_between, "Nx_between", 17610 | stan::model::index_uni(gg)), p_tilde, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13: required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Eigen::VectorBlock, -1>; Mat2 = Eigen::VectorBlock, -1>; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 - m2; | ~~~^~~~ stanExports_stanmarg.h:4730:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::calc_cov_mats(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4730 | stan::math::subtract( 4731 | stan::model::rvalue(mean_d, "mean_d", 4732 | stan::model::index_uni(cc), 4733 | stan::model::index_min_max(1, Nx_between)), 4734 | stan::model::rvalue(mean_vecs, "mean_vecs", 4735 | stan::model::index_uni(2), 4736 | stan::model::index_min_max(1, Nx_between)))))), stanExports_stanmarg.h:17595:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17595 | calc_cov_mats( 17596 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17597 | stan::model::index_min_max(rr1, (r1 - 1))), 17598 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17599 | stan::model::index_min_max(r2, (clusidx - 1))), 17600 | mnvecs, 17601 | stan::model::rvalue(nclus, "nclus", 17602 | stan::model::index_uni(gg)), 17603 | stan::model::rvalue(Xvar, "Xvar", 17604 | stan::model::index_uni(gg)), 17605 | stan::model::rvalue(Xbetvar, "Xbetvar", 17606 | stan::model::index_uni(gg)), 17607 | stan::model::rvalue(Nx, "Nx", 17608 | stan::model::index_uni(gg)), 17609 | stan::model::rvalue(Nx_between, "Nx_between", 17610 | stan::model::index_uni(gg)), p_tilde, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply.hpp:107:13: required from ‘auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Product, Eigen::Matrix, 0>; Mat2 = Eigen::Transpose >; stan::require_all_eigen_vt* = 0; stan::require_not_eigen_row_and_col_t* = 0]’ 107 | return m1 * m2; | ~~~^~~~ stanExports_stanmarg.h:4173:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4173 | stan::math::multiply(stan::math::multiply(Sig12, S22inv), 4174 | stan::math::transpose(Sig12))), "assigning variable T2p11"); stanExports_stanmarg.h:17751:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17751 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17752 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13: required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix; Mat2 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 - m2; | ~~~^~~~ stanExports_stanmarg.h:4172:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4172 | stan::math::subtract(Sig11, 4173 | stan::math::multiply(stan::math::multiply(Sig12, S22inv), 4174 | stan::math::transpose(Sig12))), "assigning variable T2p11"); stanExports_stanmarg.h:17751:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17751 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17752 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13: required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Eigen::VectorBlock, -1>; Mat2 = Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 - m2; | ~~~^~~~ stanExports_stanmarg.h:4191:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4191 | stan::math::subtract( 4192 | stan::model::rvalue(YXstar, "YXstar", 4193 | stan::model::index_uni(jj), 4194 | stan::model::index_min_max(1, 4195 | stan::model::rvalue(Nobs, "Nobs", 4196 | stan::model::index_uni(mm)))), 4197 | stan::model::rvalue(Mu, "Mu", 4198 | stan::model::index_uni(grpidx), 4199 | stan::model::index_multi( 4200 | stan::model::rvalue(obsidx, "obsidx", 4201 | stan::model::index_min_max(1, 4202 | stan::model::rvalue(Nobs, "Nobs", 4203 | stan::model::index_uni(mm))))))))), stanExports_stanmarg.h:17751:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17751 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17752 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply.hpp:107:13: required from ‘auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Product, Eigen::Matrix, 0>; Mat2 = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >; stan::require_all_eigen_vt* = 0; stan::require_not_eigen_row_and_col_t* = 0]’ 107 | return m1 * m2; | ~~~^~~~ stanExports_stanmarg.h:4190:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4190 | stan::math::multiply(stan::math::multiply(Sig12, S22inv), 4191 | stan::math::subtract( 4192 | stan::model::rvalue(YXstar, "YXstar", 4193 | stan::model::index_uni(jj), 4194 | stan::model::index_min_max(1, 4195 | stan::model::rvalue(Nobs, "Nobs", 4196 | stan::model::index_uni(mm)))), 4197 | stan::model::rvalue(Mu, "Mu", 4198 | stan::model::index_uni(grpidx), 4199 | stan::model::index_multi( 4200 | stan::model::rvalue(obsidx, "obsidx", 4201 | stan::model::index_min_max(1, 4202 | stan::model::rvalue(Nobs, "Nobs", 4203 | stan::model::index_uni(mm))))))))), stanExports_stanmarg.h:17751:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17751 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17752 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; Mat2 = Eigen::Product, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, 0>; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 + m2; | ~~~^~~~ stanExports_stanmarg.h:4183:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4183 | stan::math::add( 4184 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx), 4185 | stan::model::index_multi( 4186 | stan::model::rvalue(obsidx, "obsidx", 4187 | stan::model::index_min_max( 4188 | (stan::model::rvalue(Nobs, "Nobs", 4189 | stan::model::index_uni(mm)) + 1), p)))), 4190 | stan::math::multiply(stan::math::multiply(Sig12, S22inv), 4191 | stan::math::subtract( 4192 | stan::model::rvalue(YXstar, "YXstar", 4193 | stan::model::index_uni(jj), 4194 | stan::model::index_min_max(1, 4195 | stan::model::rvalue(Nobs, "Nobs", 4196 | stan::model::index_uni(mm)))), 4197 | stan::model::rvalue(Mu, "Mu", 4198 | stan::model::index_uni(grpidx), 4199 | stan::model::index_multi( 4200 | stan::model::rvalue(obsidx, "obsidx", 4201 | stan::model::index_min_max(1, 4202 | stan::model::rvalue(Nobs, "Nobs", 4203 | stan::model::index_uni(mm))))))))), stanExports_stanmarg.h:17751:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17751 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17752 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13: required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix; Mat2 = Eigen::Product, Eigen::Transpose >, 0>; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 - m2; | ~~~^~~~ stanExports_stanmarg.h:3267:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3267 | stan::math::subtract(Sigma_b, 3268 | stan::math::multiply(Sigma_yz, stan::math::transpose(Sigma_yz_zi))), stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Mat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 + m2; | ~~~^~~~ stanExports_stanmarg.h:3386:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3386 | stan::math::add(stan::math::multiply(nj, Sigma_b_z), Sigma_w), stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply.hpp:84:12: required from ‘auto stan::math::multiply(Scal, const Mat&) [with Scal = int; Mat = Eigen::Product >, Eigen::Matrix, 0>; stan::require_stan_scalar_t* = 0; stan::require_eigen_t* = 0; stan::require_all_not_st_var* = 0; stan::require_all_not_complex_t::type>* = 0]’ 84 | return c * m; | ~~^~~ stanExports_stanmarg.h:3405:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3405 | stan::math::multiply(nj, 3406 | stan::math::multiply(stan::math::transpose(Sigma_yz_zi), 3407 | Sigma_ji_yz_zi))), "assigning variable Vinv_11"); stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix; Mat2 = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> >; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 + m2; | ~~~^~~~ stanExports_stanmarg.h:3404:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3404 | stan::math::add(Sigma_zz_inv, 3405 | stan::math::multiply(nj, 3406 | stan::math::multiply(stan::math::transpose(Sigma_yz_zi), 3407 | Sigma_ji_yz_zi))), "assigning variable Vinv_11"); stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/elt_multiply.hpp:28:25: required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix; Mat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 28 | return m1.cwiseProduct(m2); | ~~~~~~~~~~~~~~~^~~~ stanExports_stanmarg.h:3409:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3409 | q_zz = stan::math::sum(stan::math::elt_multiply(Vinv_11, Y2Yc_zz)); stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13: required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; Mat2 = Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 - m2; | ~~~^~~~ stanExports_stanmarg.h:3440:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3440 | stan::math::subtract( 3441 | stan::model::rvalue(YX, "YX", 3442 | stan::model::index_uni(((r1 - 1) + i)), 3443 | stan::model::index_multi(notbidx)), 3444 | stan::model::rvalue(mean_d, "mean_d", 3445 | stan::model::index_uni(clz), 3446 | stan::model::index_multi(uord_notbidx))), stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply.hpp:28:12: required from ‘auto stan::math::multiply(const Mat&, Scal) [with Mat = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Scal = double; stan::require_stan_scalar_t* = 0; stan::require_eigen_t* = 0; stan::require_all_not_st_var* = 0; stan::require_all_not_complex_t::type>* = 0]’ 28 | return c * m; | ~~^~~ stanExports_stanmarg.h:3476:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3476 | stan::math::multiply( 3477 | stan::math::subtract(nperclus, stan::math::to_vector(clus_size_ns)), 3478 | stan::math::sum(stan::math::elt_multiply(Sigma_w_inv, S_PW))), stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Mat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 + m2; | ~~~^~~~ stanExports_stanmarg.h:3491:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3491 | stan::math::add( 3492 | stan::math::elt_multiply(L, stan::math::to_vector(clus_size_ns)), 3493 | stan::math::elt_multiply(B, stan::math::to_vector(clus_size_ns))), stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Mat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 + m2; | ~~~^~~~ stanExports_stanmarg.h:3490:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3490 | stan::math::add( 3491 | stan::math::add( 3492 | stan::math::elt_multiply(L, stan::math::to_vector(clus_size_ns)), 3493 | stan::math::elt_multiply(B, stan::math::to_vector(clus_size_ns))), 3494 | q_W), L_W)), "assigning variable loglik"); stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >; Mat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 + m2; | ~~~^~~~ stanExports_stanmarg.h:3489:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3489 | stan::math::add( 3490 | stan::math::add( 3491 | stan::math::add( 3492 | stan::math::elt_multiply(L, stan::math::to_vector(clus_size_ns)), 3493 | stan::math::elt_multiply(B, stan::math::to_vector(clus_size_ns))), 3494 | q_W), L_W)), "assigning variable loglik"); stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply.hpp:84:12: required from ‘auto stan::math::multiply(Scal, const Mat&) [with Scal = double; Mat = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, const Eigen::Matrix >; stan::require_stan_scalar_t* = 0; stan::require_eigen_t* = 0; stan::require_all_not_st_var* = 0; stan::require_all_not_complex_t::type>* = 0]’ 84 | return c * m; | ~~^~~ stanExports_stanmarg.h:3488:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3488 | stan::math::multiply(-.5, 3489 | stan::math::add( 3490 | stan::math::add( 3491 | stan::math::add( 3492 | stan::math::elt_multiply(L, stan::math::to_vector(clus_size_ns)), 3493 | stan::math::elt_multiply(B, stan::math::to_vector(clus_size_ns))), 3494 | q_W), L_W)), "assigning variable loglik"); stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Mat2 = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 + m2; | ~~~^~~~ stanExports_stanmarg.h:3497:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3497 | stan::math::add(stan::math::multiply(nperclus, (N_within + N_both)), 3498 | stan::math::multiply(stan::math::to_vector(clus_size_ns), N_between)), stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply.hpp:84:12: required from ‘auto stan::math::multiply(Scal, const Mat&) [with Scal = double; Mat = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; stan::require_stan_scalar_t* = 0; stan::require_eigen_t* = 0; stan::require_all_not_st_var* = 0; stan::require_all_not_complex_t::type>* = 0]’ 84 | return c * m; | ~~^~~ stanExports_stanmarg.h:3503:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3503 | stan::math::multiply(-.5, 3504 | stan::math::multiply(P, stan::math::log((2 * stan::math::pi()))))), stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix; Mat2 = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 + m2; | ~~~^~~~ stanExports_stanmarg.h:3502:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3502 | stan::math::add(stan::model::deep_copy(loglik), 3503 | stan::math::multiply(-.5, 3504 | stan::math::multiply(P, stan::math::log((2 * stan::math::pi()))))), stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:277: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, -1, 1, false> >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/ref_type.hpp:42:38: required from ‘struct stan::ref_type_if, -1>&, void>’ 42 | template match::MatchAtCompileTime | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/ref_type.hpp:54:7: required by substitution of ‘template using stan::ref_type_t = typename stan::ref_type_if::type [with T = const Eigen::VectorBlock, -1>&]’ 54 | using ref_type_t = typename ref_type_if::type; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:17:24: required by substitution of ‘template stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::VectorBlock, -1>&]’ 17 | inline ref_type_t to_ref(T&& a) { | ^~~~~~ stanExports_stanmarg.h:4468:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T3__ = Eigen::Matrix; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4468 | const auto& xbar = stan::math::to_ref(xbar_arg__); stanExports_stanmarg.h:18339:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18339 | multi_normal_suff( 18340 | stan::model::rvalue(YXstar, "YXstar", 18341 | stan::model::index_uni(jj), 18342 | stan::model::index_min_max(1, 18343 | stan::model::rvalue(Nobs, "Nobs", 18344 | stan::model::index_uni(mm)))), 18345 | stan::model::rvalue(zmat, "zmat", 18346 | stan::model::index_min_max(1, 18347 | stan::model::rvalue(Nobs, "Nobs", 18348 | stan::model::index_uni(mm))), 18349 | stan::model::index_min_max(1, 18350 | stan::model::rvalue(Nobs, "Nobs", 18351 | stan::model::index_uni(mm)))), 18352 | stan::model::rvalue(Mu, "Mu", 18353 | stan::model::index_uni(grpidx), 18354 | stan::model::index_multi( 18355 | stan::model::rvalue(obsidx, "obsidx", 18356 | stan::model::index_min_max(1, 18357 | stan::model::rvalue(Nobs, "Nobs", 18358 | stan::model::index_uni(mm)))))), 18359 | stan::model::rvalue(Sigmainv, "Sigmainv", 18360 | stan::model::index_uni(mm)), 1, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, -1, -1, false> >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/ref_type.hpp:42:38: required from ‘struct stan::ref_type_if, -1, -1, false>&, void>’ 42 | template match::MatchAtCompileTime | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/ref_type.hpp:54:7: required by substitution of ‘template using stan::ref_type_t = typename stan::ref_type_if::type [with T = const Eigen::Block, -1, -1, false>&]’ 54 | using ref_type_t = typename ref_type_if::type; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:17:24: required by substitution of ‘template stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Block, -1, -1, false>&]’ 17 | inline ref_type_t to_ref(T&& a) { | ^~~~~~ stanExports_stanmarg.h:4469:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T3__ = Eigen::Matrix; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4469 | const auto& S = stan::math::to_ref(S_arg__); stanExports_stanmarg.h:18339:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18339 | multi_normal_suff( 18340 | stan::model::rvalue(YXstar, "YXstar", 18341 | stan::model::index_uni(jj), 18342 | stan::model::index_min_max(1, 18343 | stan::model::rvalue(Nobs, "Nobs", 18344 | stan::model::index_uni(mm)))), 18345 | stan::model::rvalue(zmat, "zmat", 18346 | stan::model::index_min_max(1, 18347 | stan::model::rvalue(Nobs, "Nobs", 18348 | stan::model::index_uni(mm))), 18349 | stan::model::index_min_max(1, 18350 | stan::model::rvalue(Nobs, "Nobs", 18351 | stan::model::index_uni(mm)))), 18352 | stan::model::rvalue(Mu, "Mu", 18353 | stan::model::index_uni(grpidx), 18354 | stan::model::index_multi( 18355 | stan::model::rvalue(obsidx, "obsidx", 18356 | stan::model::index_min_max(1, 18357 | stan::model::rvalue(Nobs, "Nobs", 18358 | stan::model::index_uni(mm)))))), 18359 | stan::model::rvalue(Sigmainv, "Sigmainv", 18360 | stan::model::index_uni(mm)), 1, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13: required from ‘auto stan::math::subtract(const Mat1&, const Mat2&) [with Mat1 = Eigen::VectorBlock, -1>; Mat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 - m2; | ~~~^~~~ stanExports_stanmarg.h:4492:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T3__ = Eigen::Matrix; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), stanExports_stanmarg.h:18339:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18339 | multi_normal_suff( 18340 | stan::model::rvalue(YXstar, "YXstar", 18341 | stan::model::index_uni(jj), 18342 | stan::model::index_min_max(1, 18343 | stan::model::rvalue(Nobs, "Nobs", 18344 | stan::model::index_uni(mm)))), 18345 | stan::model::rvalue(zmat, "zmat", 18346 | stan::model::index_min_max(1, 18347 | stan::model::rvalue(Nobs, "Nobs", 18348 | stan::model::index_uni(mm))), 18349 | stan::model::index_min_max(1, 18350 | stan::model::rvalue(Nobs, "Nobs", 18351 | stan::model::index_uni(mm)))), 18352 | stan::model::rvalue(Mu, "Mu", 18353 | stan::model::index_uni(grpidx), 18354 | stan::model::index_multi( 18355 | stan::model::rvalue(obsidx, "obsidx", 18356 | stan::model::index_min_max(1, 18357 | stan::model::rvalue(Nobs, "Nobs", 18358 | stan::model::index_uni(mm)))))), 18359 | stan::model::rvalue(Sigmainv, "Sigmainv", 18360 | stan::model::index_uni(mm)), 1, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/transpose.hpp:18:21: required from ‘auto stan::math::transpose(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; stan::require_matrix_t* = 0]’ 18 | return m.transpose(); | ~~~~~~~~~~~^~ stanExports_stanmarg.h:4493:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T3__ = Eigen::Matrix; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:18339:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18339 | multi_normal_suff( 18340 | stan::model::rvalue(YXstar, "YXstar", 18341 | stan::model::index_uni(jj), 18342 | stan::model::index_min_max(1, 18343 | stan::model::rvalue(Nobs, "Nobs", 18344 | stan::model::index_uni(mm)))), 18345 | stan::model::rvalue(zmat, "zmat", 18346 | stan::model::index_min_max(1, 18347 | stan::model::rvalue(Nobs, "Nobs", 18348 | stan::model::index_uni(mm))), 18349 | stan::model::index_min_max(1, 18350 | stan::model::rvalue(Nobs, "Nobs", 18351 | stan::model::index_uni(mm)))), 18352 | stan::model::rvalue(Mu, "Mu", 18353 | stan::model::index_uni(grpidx), 18354 | stan::model::index_multi( 18355 | stan::model::rvalue(obsidx, "obsidx", 18356 | stan::model::index_min_max(1, 18357 | stan::model::rvalue(Nobs, "Nobs", 18358 | stan::model::index_uni(mm)))))), 18359 | stan::model::rvalue(Sigmainv, "Sigmainv", 18360 | stan::model::index_uni(mm)), 1, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply.hpp:107:13: required from ‘auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; Mat2 = Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >; stan::require_all_eigen_vt* = 0; stan::require_not_eigen_row_and_col_t* = 0]’ 107 | return m1 * m2; | ~~~^~~~ stanExports_stanmarg.h:4492:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T3__ = Eigen::Matrix; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:18339:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18339 | multi_normal_suff( 18340 | stan::model::rvalue(YXstar, "YXstar", 18341 | stan::model::index_uni(jj), 18342 | stan::model::index_min_max(1, 18343 | stan::model::rvalue(Nobs, "Nobs", 18344 | stan::model::index_uni(mm)))), 18345 | stan::model::rvalue(zmat, "zmat", 18346 | stan::model::index_min_max(1, 18347 | stan::model::rvalue(Nobs, "Nobs", 18348 | stan::model::index_uni(mm))), 18349 | stan::model::index_min_max(1, 18350 | stan::model::rvalue(Nobs, "Nobs", 18351 | stan::model::index_uni(mm)))), 18352 | stan::model::rvalue(Mu, "Mu", 18353 | stan::model::index_uni(grpidx), 18354 | stan::model::index_multi( 18355 | stan::model::rvalue(obsidx, "obsidx", 18356 | stan::model::index_min_max(1, 18357 | stan::model::rvalue(Nobs, "Nobs", 18358 | stan::model::index_uni(mm)))))), 18359 | stan::model::rvalue(Sigmainv, "Sigmainv", 18360 | stan::model::index_uni(mm)), 1, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Block, -1, -1, false>; Mat2 = Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0>; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 + m2; | ~~~^~~~ stanExports_stanmarg.h:4491:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T3__ = Eigen::Matrix; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4491 | stan::math::add(S, 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:18339:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18339 | multi_normal_suff( 18340 | stan::model::rvalue(YXstar, "YXstar", 18341 | stan::model::index_uni(jj), 18342 | stan::model::index_min_max(1, 18343 | stan::model::rvalue(Nobs, "Nobs", 18344 | stan::model::index_uni(mm)))), 18345 | stan::model::rvalue(zmat, "zmat", 18346 | stan::model::index_min_max(1, 18347 | stan::model::rvalue(Nobs, "Nobs", 18348 | stan::model::index_uni(mm))), 18349 | stan::model::index_min_max(1, 18350 | stan::model::rvalue(Nobs, "Nobs", 18351 | stan::model::index_uni(mm)))), 18352 | stan::model::rvalue(Mu, "Mu", 18353 | stan::model::index_uni(grpidx), 18354 | stan::model::index_multi( 18355 | stan::model::rvalue(obsidx, "obsidx", 18356 | stan::model::index_min_max(1, 18357 | stan::model::rvalue(Nobs, "Nobs", 18358 | stan::model::index_uni(mm)))))), 18359 | stan::model::rvalue(Sigmainv, "Sigmainv", 18360 | stan::model::index_uni(mm)), 1, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/elt_multiply.hpp:28:25: required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Block, -1, -1, false>; Mat2 = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> >; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 28 | return m1.cwiseProduct(m2); | ~~~~~~~~~~~~~~~^~~~ stanExports_stanmarg.h:4487:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T3__ = Eigen::Matrix; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4487 | stan::math::elt_multiply( 4488 | stan::model::rvalue(Supdate, "Supdate", 4489 | stan::model::index_min_max(1, Nobs), 4490 | stan::model::index_min_max(1, Nobs)), 4491 | stan::math::add(S, 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:18339:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18339 | multi_normal_suff( 18340 | stan::model::rvalue(YXstar, "YXstar", 18341 | stan::model::index_uni(jj), 18342 | stan::model::index_min_max(1, 18343 | stan::model::rvalue(Nobs, "Nobs", 18344 | stan::model::index_uni(mm)))), 18345 | stan::model::rvalue(zmat, "zmat", 18346 | stan::model::index_min_max(1, 18347 | stan::model::rvalue(Nobs, "Nobs", 18348 | stan::model::index_uni(mm))), 18349 | stan::model::index_min_max(1, 18350 | stan::model::rvalue(Nobs, "Nobs", 18351 | stan::model::index_uni(mm)))), 18352 | stan::model::rvalue(Mu, "Mu", 18353 | stan::model::index_uni(grpidx), 18354 | stan::model::index_multi( 18355 | stan::model::rvalue(obsidx, "obsidx", 18356 | stan::model::index_min_max(1, 18357 | stan::model::rvalue(Nobs, "Nobs", 18358 | stan::model::index_uni(mm)))))), 18359 | stan::model::rvalue(Sigmainv, "Sigmainv", 18360 | stan::model::index_uni(mm)), 1, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply.hpp:107:13: required from ‘auto stan::math::multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Mat2 = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; stan::require_all_eigen_vt* = 0; stan::require_not_eigen_row_and_col_t* = 0]’ 107 | return m1 * m2; | ~~~^~~~ stanExports_stanmarg.h:4492:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T3__ = Eigen::Matrix; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:18374:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18374 | -multi_normal_suff( 18375 | stan::model::rvalue(YXstar, "YXstar", 18376 | stan::model::index_uni(jj), 18377 | stan::model::index_multi( 18378 | stan::model::rvalue(xdatidx, "xdatidx", 18379 | stan::model::index_min_max(1, 18380 | stan::model::rvalue(Nx, "Nx", 18381 | stan::model::index_uni(mm)))))), 18382 | stan::model::rvalue(zmat, "zmat", 18383 | stan::model::index_min_max(1, 18384 | stan::model::rvalue(Nx, "Nx", 18385 | stan::model::index_uni(mm))), 18386 | stan::model::index_min_max(1, 18387 | stan::model::rvalue(Nx, "Nx", 18388 | stan::model::index_uni(mm)))), 18389 | stan::model::rvalue(Mu, "Mu", 18390 | stan::model::index_uni(grpidx), 18391 | stan::model::index_multi( 18392 | stan::model::rvalue(xidx, "xidx", 18393 | stan::model::index_min_max(1, 18394 | stan::model::rvalue(Nx, "Nx", 18395 | stan::model::index_uni(mm)))))), 18396 | sig_inv_update( 18397 | stan::model::rvalue(Sigmainv, "Sigmainv", 18398 | stan::model::index_uni(grpidx)), xidx, 18399 | stan::model::rvalue(Nx, "Nx", 18400 | stan::model::index_uni(mm)), (p + q), 18401 | stan::model::rvalue(logdetSigma_grp, 18402 | "logdetSigma_grp", stan::model::index_uni(grpidx)), 18403 | pstream__), 1, pstream__)), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Block, -1, -1, false>; Mat2 = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0>; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 + m2; | ~~~^~~~ stanExports_stanmarg.h:4491:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T3__ = Eigen::Matrix; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4491 | stan::math::add(S, 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:18374:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18374 | -multi_normal_suff( 18375 | stan::model::rvalue(YXstar, "YXstar", 18376 | stan::model::index_uni(jj), 18377 | stan::model::index_multi( 18378 | stan::model::rvalue(xdatidx, "xdatidx", 18379 | stan::model::index_min_max(1, 18380 | stan::model::rvalue(Nx, "Nx", 18381 | stan::model::index_uni(mm)))))), 18382 | stan::model::rvalue(zmat, "zmat", 18383 | stan::model::index_min_max(1, 18384 | stan::model::rvalue(Nx, "Nx", 18385 | stan::model::index_uni(mm))), 18386 | stan::model::index_min_max(1, 18387 | stan::model::rvalue(Nx, "Nx", 18388 | stan::model::index_uni(mm)))), 18389 | stan::model::rvalue(Mu, "Mu", 18390 | stan::model::index_uni(grpidx), 18391 | stan::model::index_multi( 18392 | stan::model::rvalue(xidx, "xidx", 18393 | stan::model::index_min_max(1, 18394 | stan::model::rvalue(Nx, "Nx", 18395 | stan::model::index_uni(mm)))))), 18396 | sig_inv_update( 18397 | stan::model::rvalue(Sigmainv, "Sigmainv", 18398 | stan::model::index_uni(grpidx)), xidx, 18399 | stan::model::rvalue(Nx, "Nx", 18400 | stan::model::index_uni(mm)), (p + q), 18401 | stan::model::rvalue(logdetSigma_grp, 18402 | "logdetSigma_grp", stan::model::index_uni(grpidx)), 18403 | pstream__), 1, pstream__)), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/elt_multiply.hpp:28:25: required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Block, -1, -1, false>; Mat2 = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> >; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 28 | return m1.cwiseProduct(m2); | ~~~~~~~~~~~~~~~^~~~ stanExports_stanmarg.h:4487:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T3__ = Eigen::Matrix; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4487 | stan::math::elt_multiply( 4488 | stan::model::rvalue(Supdate, "Supdate", 4489 | stan::model::index_min_max(1, Nobs), 4490 | stan::model::index_min_max(1, Nobs)), 4491 | stan::math::add(S, 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:18374:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18374 | -multi_normal_suff( 18375 | stan::model::rvalue(YXstar, "YXstar", 18376 | stan::model::index_uni(jj), 18377 | stan::model::index_multi( 18378 | stan::model::rvalue(xdatidx, "xdatidx", 18379 | stan::model::index_min_max(1, 18380 | stan::model::rvalue(Nx, "Nx", 18381 | stan::model::index_uni(mm)))))), 18382 | stan::model::rvalue(zmat, "zmat", 18383 | stan::model::index_min_max(1, 18384 | stan::model::rvalue(Nx, "Nx", 18385 | stan::model::index_uni(mm))), 18386 | stan::model::index_min_max(1, 18387 | stan::model::rvalue(Nx, "Nx", 18388 | stan::model::index_uni(mm)))), 18389 | stan::model::rvalue(Mu, "Mu", 18390 | stan::model::index_uni(grpidx), 18391 | stan::model::index_multi( 18392 | stan::model::rvalue(xidx, "xidx", 18393 | stan::model::index_min_max(1, 18394 | stan::model::rvalue(Nx, "Nx", 18395 | stan::model::index_uni(mm)))))), 18396 | sig_inv_update( 18397 | stan::model::rvalue(Sigmainv, "Sigmainv", 18398 | stan::model::index_uni(grpidx)), xidx, 18399 | stan::model::rvalue(Nx, "Nx", 18400 | stan::model::index_uni(mm)), (p + q), 18401 | stan::model::rvalue(logdetSigma_grp, 18402 | "logdetSigma_grp", stan::model::index_uni(grpidx)), 18403 | pstream__), 1, pstream__)), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from ‘void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]’ 29 | elementwise_check([](double x) { return std::isfinite(x); }, function, name, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 30 | y, "finite"); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:35:15: required from ‘stan::return_type_t stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix; Tb = Eigen::Matrix; Tz = double; stan::require_all_eigen_st* = 0; stan::require_arithmetic_t* = 0; stan::return_type_t = double]’ 35 | check_finite("hypergeometric_pFq", "a", a_ref); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from ‘stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]’ 189 | return hypergeometric_pFq(a_args, b_args, z); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]’ 190 | auto hyper1 = hypergeometric_2F1(a1_euler, a2_euler, b1, z_euler); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]’ 306 | return internal::grad_2F1_impl(a1, a2, b1, z, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ 307 | precision, max_steps); | ~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here 37 | = grad_2F1(a + b, 1.0, a + 1, z); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase >::Index’ {aka ‘long int’} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from ‘void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]’ 29 | elementwise_check([](double x) { return std::isfinite(x); }, function, name, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 30 | y, "finite"); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:36:15: required from ‘stan::return_type_t stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix; Tb = Eigen::Matrix; Tz = double; stan::require_all_eigen_st* = 0; stan::require_arithmetic_t* = 0; stan::return_type_t = double]’ 36 | check_finite("hypergeometric_pFq", "b", b_ref); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from ‘stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]’ 189 | return hypergeometric_pFq(a_args, b_args, z); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]’ 190 | auto hyper1 = hypergeometric_2F1(a1_euler, a2_euler, b1, z_euler); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]’ 306 | return internal::grad_2F1_impl(a1, a2, b1, z, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ 307 | precision, max_steps); | ~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here 37 | = grad_2F1(a + b, 1.0, a + 1, z); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase >::Index’ {aka ‘long int’} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from ‘void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]’ 28 | elementwise_check([](double x) { return !std::isnan(x); }, function, name, y, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | "not nan"); | ~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:39:16: required from ‘stan::return_type_t stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix; Tb = Eigen::Matrix; Tz = double; stan::require_all_eigen_st* = 0; stan::require_arithmetic_t* = 0; stan::return_type_t = double]’ 39 | check_not_nan("hypergeometric_pFq", "a", a_ref); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from ‘stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]’ 189 | return hypergeometric_pFq(a_args, b_args, z); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]’ 190 | auto hyper1 = hypergeometric_2F1(a1_euler, a2_euler, b1, z_euler); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]’ 306 | return internal::grad_2F1_impl(a1, a2, b1, z, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ 307 | precision, max_steps); | ~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here 37 | = grad_2F1(a + b, 1.0, a + 1, z); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase >::Index’ {aka ‘long int’} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Matrix&)::; T = Eigen::Matrix; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from ‘void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]’ 28 | elementwise_check([](double x) { return !std::isnan(x); }, function, name, y, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | "not nan"); | ~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:40:16: required from ‘stan::return_type_t stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix; Tb = Eigen::Matrix; Tz = double; stan::require_all_eigen_st* = 0; stan::require_arithmetic_t* = 0; stan::return_type_t = double]’ 40 | check_not_nan("hypergeometric_pFq", "b", b_ref); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30: required from ‘stan::return_type_t stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional; stan::require_all_arithmetic_t* = 0; stan::return_type_t = double]’ 189 | return hypergeometric_pFq(a_args, b_args, z); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39: required from ‘TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple]’ 190 | auto hyper1 = hypergeometric_2F1(a1_euler, a2_euler, b1, z_euler); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57: required from ‘auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t >* = 0]’ 306 | return internal::grad_2F1_impl(a1, a2, b1, z, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ 307 | precision, max_steps); | ~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25: required from here 37 | = grad_2F1(a + b, 1.0, a + 1, z); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase >::Index’ {aka ‘long int’} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/special_functions/beta.hpp:1721, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/special_functions/binomial.hpp:15, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/choose.hpp:7, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun.hpp:46, from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim.hpp:14: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp: In instantiation of ‘boost::math::detail::temme_root_finder::temme_root_finder(T, T) [with T = double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:304:7: required from ‘T boost::math::detail::temme_method_2_ibeta_inverse(T, T, T, T, T, const Policy&) [with T = double; Policy = boost::math::policies::policy, boost::math::policies::promote_float, boost::math::policies::promote_double, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy>]’ 304 | temme_root_finder(-lu, alpha), x, lower, upper, policies::digits() / 2); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:615:48: required from ‘T boost::math::detail::ibeta_inv_imp(T, T, T, T, const Policy&, T*) [with T = double; Policy = boost::math::policies::policy, boost::math::policies::promote_float, boost::math::policies::promote_double, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy, boost::math::policies::default_policy>]’ 615 | x = temme_method_2_ibeta_inverse(a, b, p, r, theta, pol); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:992:30: required from ‘boost::math::tools::promote_args_t boost::math::ibeta_inv(T1, T2, T3, T4*, const Policy&) [with T1 = double; T2 = double; T3 = double; T4 = double; Policy = policies::policy, policies::pole_error, policies::promote_double, policies::digits2<0>, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy>; tools::promote_args_t = double]’ 992 | rx = detail::ibeta_inv_imp( | ~~~~~~~~~~~~~~~~~~~~~^ 993 | static_cast(a), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 994 | static_cast(b), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 995 | static_cast(p), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 996 | static_cast(1 - p), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 997 | forwarding_policy(), &ry); | ~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:1023:20: required from ‘boost::math::tools::promote_args_t boost::math::ibeta_inv(RT1, RT2, RT3, const Policy&) [with RT1 = double; RT2 = double; RT3 = double; Policy = policies::policy, policies::pole_error, policies::promote_double, policies::digits2<0>, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy, policies::default_policy>; tools::promote_args_t = double]’ 1023 | return ibeta_inv(a, b, p, static_cast(nullptr), pol); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/inv_inc_beta.hpp:32:32: required from here 32 | return boost::math::ibeta_inv(a, b, p, boost_policy_t<>()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/math/special_functions/detail/ibeta_inverse.hpp:29:15: warning: unused variable ‘x_extrema’ [-Wunused-variable] 29 | const T x_extrema = 1 / (1 + a); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1>; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here 106 | return x.cwiseAbs().rowwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 2, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 2, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 2, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 2, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 2, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 2, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: required from ‘PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]’ 203 | PanelType panel(m_arg, | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:251:78: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]’ 251 | PacketScalar packet_res0 = eval.template packet(alignedStart); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here 106 | return x.cwiseAbs().rowwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 2, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 2, -1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from ‘PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]’ 217 | PanelEvaluator panel_eval(panel); | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:251:78: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]’ 251 | PacketScalar packet_res0 = eval.template packet(alignedStart); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here 106 | return x.cwiseAbs().rowwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:268:34: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]’ 268 | res = func(res,eval.coeff(index)); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here 106 | return x.cwiseAbs().rowwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’ 100 | pack_rhs(blockB, rhs.getSubMapper(k2,0), actual_kc, size); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 33 | return result.setZero().template selfadjointView().rankUpdate( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 34 | M_ref); | ~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’ 106 | pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 33 | return result.setZero().template selfadjointView().rankUpdate( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 34 | M_ref); | ~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’ 113 | gebp(res.getSubMapper(i2, 0), blockA, blockB, actual_mc, actual_kc, | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 114 | (std::min)(size,i2), alpha, -1, -1, 0, 0); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 33 | return result.setZero().template selfadjointView().rankUpdate( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 34 | M_ref); | ~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from ‘void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; ResScalar = double]’ 155 | Matrix buffer((internal::constructor_without_unaligned_array_assert())); | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’ 116 | sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 33 | return result.setZero().template selfadjointView().rankUpdate( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 34 | M_ref); | ~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’ 116 | sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 33 | return result.setZero().template selfadjointView().rankUpdate( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 34 | M_ref); | ~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:0: required from here 28 | double variance = diff.squaredNorm() / size_m1; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 370 | * (conj(h) * matA.col(i).tail(remainingSize))); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 369 | hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | * (conj(h) * matA.col(i).tail(remainingSize))); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:26: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 325 | mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 325 | mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 352 | Block A21(mat,k+1,k,rs,1); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:80: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 358 | temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 358 | temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 359 | mat.coeffRef(k,k) -= (A10 * temp.head(k)).value(); | ~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 379 | ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 387 | ret = ret && (A21.array()==Scalar(0)).all(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::InnerStride<1> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_L.hpp:120:49: required from ‘Eigen::Matrix::type, -1, -1> stan::math::read_corr_L(const T&, size_t, stan::value_type_t&) [with T = Eigen::Matrix; stan::require_eigen_vector_t* = 0; typename stan::value_type::type = double; size_t = long unsigned int; stan::value_type_t = double]’ 120 | acc += (K - k - 1) * log1m(square(CPCs_ref(pos))); | ~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_matrix.hpp:61:55: required from ‘Eigen::Matrix::type, -1, -1> stan::math::read_corr_matrix(const T_CPCs&, size_t, stan::value_type_t&) [with T_CPCs = Eigen::Matrix; stan::require_eigen_vector_t* = 0; typename stan::value_type::type = double; size_t = long unsigned int; stan::value_type_t = double]’ 61 | return multiply_lower_tri_self_transpose(read_corr_L(CPCs, K, log_prob)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_constrain.hpp:74:26: required from ‘Eigen::Matrix::type, -1, -1> stan::math::corr_matrix_constrain(const T&, Eigen::Index, stan::return_type_t&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t* = 0; typename stan::value_type::type = double; Eigen::Index = long int; stan::return_type_t = double]’ 74 | return read_corr_matrix(corr_constrain(x, lp), k, lp); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:945:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix; bool Jacobian = false; LP = double; stan::require_not_std_vector_t* = 0; stan::require_matrix_t* = 0; T = double; Eigen::Index = long int]’ 945 | return corr_matrix_constrain( 946 | this->read>((k * (k - 1)) / 2), 947 | k, lp); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t* = 0; T = double; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:14930:0: required from here 14928 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 14929 | std::vector>, 14930 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 14931 | Psi_r_mat_1_3dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:37:52: required from ‘stan::math::matrix_d stan::math::multiply_lower_tri_self_transpose(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_matrix_dynamic_t* = 0; stan::require_not_st_autodiff* = 0; matrix_d = Eigen::Matrix]’ 37 | LLt(n, m) = LLt(m, n) = Lt.col(m).head(k).dot(Lt.col(n).head(k)); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_matrix.hpp:61:43: required from ‘Eigen::Matrix::type, -1, -1> stan::math::read_corr_matrix(const T_CPCs&, size_t, stan::value_type_t&) [with T_CPCs = Eigen::Matrix; stan::require_eigen_vector_t* = 0; typename stan::value_type::type = double; size_t = long unsigned int; stan::value_type_t = double]’ 61 | return multiply_lower_tri_self_transpose(read_corr_L(CPCs, K, log_prob)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_constrain.hpp:74:26: required from ‘Eigen::Matrix::type, -1, -1> stan::math::corr_matrix_constrain(const T&, Eigen::Index, stan::return_type_t&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t* = 0; typename stan::value_type::type = double; Eigen::Index = long int; stan::return_type_t = double]’ 74 | return read_corr_matrix(corr_constrain(x, lp), k, lp); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:945:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix; bool Jacobian = false; LP = double; stan::require_not_std_vector_t* = 0; stan::require_matrix_t* = 0; T = double; Eigen::Index = long int]’ 945 | return corr_matrix_constrain( 946 | this->read>((k * (k - 1)) / 2), 947 | k, lp); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t* = 0; T = double; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:14930:0: required from here 14928 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 14929 | std::vector>, 14930 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 14931 | Psi_r_mat_1_3dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:32:27: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 32 | sds = Sigma_ref.diagonal().array(); | ~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19828:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19828 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> >, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:32:35: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 32 | sds = Sigma_ref.diagonal().array(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19828:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19828 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:36:17: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 36 | sds = sds.sqrt(); | ~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19828:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19828 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:39:29: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 39 | D.diagonal() = sds.inverse(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19828:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19828 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:40:16: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 40 | sds = sds.log(); // now unbounded | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19828:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19828 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:42:65: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 42 | Eigen::Matrix R = D * Sigma_ref * D; | ~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19828:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19828 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, Eigen::DiagonalMatrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, Eigen::DiagonalMatrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, Eigen::DiagonalMatrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, Eigen::DiagonalMatrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, Eigen::DiagonalMatrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, Eigen::DiagonalMatrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:42:77: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 42 | Eigen::Matrix R = D * Sigma_ref * D; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19828:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19828 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >(Eigen::Matrix&&, const char*, const index_multi&)::::, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >(Eigen::Matrix&&, const char*, const index_multi&)::::, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >(Eigen::Matrix&&, const char*, const index_multi&)::::, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp >(Eigen::Matrix&&, const char*, const index_multi&)::::, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:158:0: required from ‘stan::model::rvalue >(Eigen::Matrix&&, const char*, const index_multi&):: [with auto:703 = Eigen::Matrix]’ 158 | return plain_type_t::NullaryExpr( 159 | idx.ns_.size(), [name, &idx, &v_ref](Eigen::Index i) { 160 | math::check_range("vector[multi] indexing", name, v_ref.size(), 161 | idx.ns_[i]); 162 | return v_ref.coeff(idx.ns_[i] - 1); 163 | }); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::model::rvalue >(Eigen::Matrix&&, const char*, const index_multi&)::; Args = {Eigen::Matrix&}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:156:0: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:14363:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14363 | stan::model::rvalue(YXstar, "YXstar", 14364 | stan::model::index_min_max(r1, r2), 14365 | stan::model::index_multi( 14366 | stan::model::rvalue(xdatidx, 14367 | "xdatidx", 14368 | stan::model::index_min_max(1, 14369 | stan::model::rvalue(Nx, "Nx", 14370 | stan::model::index_uni(mm)))))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:77:13: required from ‘auto stan::math::add(Scal, const Mat&) [with Scal = int; Mat = Eigen::Matrix; stan::require_stan_scalar_t* = 0; stan::require_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 77 | return (c + m.array()).matrix(); | ~~~^~~~~~~~~~~~ stanExports_stanmarg.h:14612:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14612 | stan::math::add(1, Theta_r_free)), theta_r_alpha, stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:77:32: required from ‘auto stan::math::add(Scal, const Mat&) [with Scal = int; Mat = Eigen::Matrix; stan::require_stan_scalar_t* = 0; stan::require_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 77 | return (c + m.array()).matrix(); | ~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:14612:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14612 | stan::math::add(1, Theta_r_free)), theta_r_alpha, stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply.hpp:84:12: required from ‘auto stan::math::multiply(Scal, const Mat&) [with Scal = double; Mat = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >; stan::require_stan_scalar_t* = 0; stan::require_eigen_t* = 0; stan::require_all_not_st_var* = 0; stan::require_all_not_complex_t::type>* = 0]’ 84 | return c * m; | ~~^~~ stanExports_stanmarg.h:14611:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14611 | stan::math::multiply(.5, 14612 | stan::math::add(1, Theta_r_free)), theta_r_alpha, stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:247:0: required from ‘int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = ModelAdaptor; Scalar = double; XType = Eigen::Matrix]’ 247 | x1.noalias() = x0 + alpha1 * p; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:209:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 209 | = WolfeLineSearch(_func, _alpha, _xk_1, _fk_1, _gk_1, _pk, _xk, _fk, 210 | _gk, _ls_opts.c1, _ls_opts.c2, _ls_opts.minAlpha, 211 | _ls_opts.maxLSIts, _ls_opts.maxLSRestarts); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 34 | = HessianT::Identity(yk.size(), yk.size()) - rhok * sk * yk.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 34 | = HessianT::Identity(yk.size(), yk.size()) - rhok * sk * yk.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 40 | _Hk = Hupd * _Hk * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:0: required from ‘void stan::optimization::BFGSUpdate_HInv::search_direction(VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 55 | pk.noalias() = -(_Hk * gk); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:254:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 254 | _qn.search_direction(_pk, _gk); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::SolverStorage>’ 68 | class InverseImpl | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse > >’ 43 | class Inverse : public InverseImpl::StorageKind> | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/log_determinant.hpp:23:0: required from ‘stan::math::var stan::math::log_determinant(const T&) [with T = Eigen::Matrix, -1, -1>; stan::require_rev_matrix_t* = 0; var = var_value]’ 23 | auto arena_m_inv_transpose = to_arena(m_hh.inverse().transpose()); stanExports_stanmarg.h:14052:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14052 | stan::math::log_determinant( 14053 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/log_determinant.hpp:23:0: required from ‘stan::math::var stan::math::log_determinant(const T&) [with T = Eigen::Matrix, -1, -1>; stan::require_rev_matrix_t* = 0; var = var_value]’ 23 | auto arena_m_inv_transpose = to_arena(m_hh.inverse().transpose()); stanExports_stanmarg.h:14052:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14052 | stan::math::log_determinant( 14053 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/log_determinant.hpp:27:0: required from ‘stan::math::var stan::math::log_determinant(const T&) [with T = Eigen::Matrix, -1, -1>; stan::require_rev_matrix_t* = 0; var = var_value]’ 27 | arena_m.adj() += log_det.adj() * arena_m_inv_transpose; stanExports_stanmarg.h:14052:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14052 | stan::math::log_determinant( 14053 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1> >&>(const Eigen::Transpose, -1, -1> >&)::::, const Eigen::Transpose, -1, -1> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1> >&>(const Eigen::Transpose, -1, -1> >&)::::, const Eigen::Transpose, -1, -1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1> >&>(const Eigen::Transpose, -1, -1> >&)::::, const Eigen::Transpose, -1, -1> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, -1> >&>(const Eigen::Transpose, -1, -1> >&)::::, const Eigen::Transpose, -1, -1> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, -1> >&>(const Eigen::Transpose, -1, -1> >&)::::, const Eigen::Transpose, -1, -1> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:27: required from ‘stan::math::value_of, -1, -1> >&>(const Eigen::Transpose, -1, -1> >&):: [with auto:11 = const Eigen::Transpose, -1, -1> >]’ 75 | return a.unaryExpr([](const auto& scal) { return value_of(scal); }); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix::value), stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Types = {Eigen::Transpose, -1, -1, 0, -1, -1> >, Eigen::Matrix, -1, -1, 0, -1, -1>}]’ 23 | is_any_var_matrix::value, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:55:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose, -1, -1> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 55 | using return_t stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix::value), stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Types = {Eigen::Transpose, -1, -1, 0, -1, -1> >, Eigen::Matrix, -1, -1, 0, -1, -1>}]’ 23 | is_any_var_matrix::value, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:65:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Transpose, -1, -1> >; T2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 65 | using return_t stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix::value), stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >; Types = {Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::Matrix, -1, -1, 0, -1, -1>}]’ 23 | is_any_var_matrix::value, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:121:0: required from ‘auto stan::math::subtract(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, -1>; VarMat2 = Eigen::Matrix, -1, -1>; stan::require_all_rev_matrix_t* = 0]’ 121 | using ret_type = return_var_matrix_t; stanExports_stanmarg.h:4426:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4426 | stan::math::subtract( 4427 | stan::model::rvalue(Sigmainv, "Sigmainv", 4428 | stan::model::index_multi( 4429 | stan::model::rvalue(obsidx, "obsidx", 4430 | stan::model::index_min_max(1, Nobs))), 4431 | stan::model::index_multi( 4432 | stan::model::rvalue(obsidx, "obsidx", 4433 | stan::model::index_min_max(1, Nobs)))), 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:124:0: required from ‘auto stan::math::subtract(const VarMat1&, const VarMat2&) [with VarMat1 = Eigen::Matrix, -1, -1>; VarMat2 = Eigen::Matrix, -1, -1>; stan::require_all_rev_matrix_t* = 0]’ 124 | arena_t ret((arena_a.val() - arena_b.val())); stanExports_stanmarg.h:4426:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4426 | stan::math::subtract( 4427 | stan::model::rvalue(Sigmainv, "Sigmainv", 4428 | stan::model::index_multi( 4429 | stan::model::rvalue(obsidx, "obsidx", 4430 | stan::model::index_min_max(1, Nobs))), 4431 | stan::model::index_multi( 4432 | stan::model::rvalue(obsidx, "obsidx", 4433 | stan::model::index_min_max(1, Nobs)))), 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix::value), stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Types = {Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::Transpose, -1, -1, 0, -1, -1> >}]’ 23 | is_any_var_matrix::value, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:55:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Transpose, -1, -1> >; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 55 | using return_t stanExports_stanmarg.h:3268:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3268 | stan::math::multiply(Sigma_yz, stan::math::transpose(Sigma_yz_zi))), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:180:0: required from ‘auto stan::math::subtract(const Arith&, const VarMat&) [with Arith = Eigen::Matrix; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 180 | (as_array_or_scalar(a) - b.val().array()).matrix())>; stanExports_stanmarg.h:3299:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: required from ‘struct stan::is_base_pointer_convertible, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > > > >’ 29 | = decltype(f(std::declval *>()))::value | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:21:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:22:7: recursively required by substitution of ‘template struct stan::plain_type, stan::is_eigen::type> >::value, void>::type> [with T = const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > > >]’ 22 | using plain_type_t = typename plain_type::type; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:22:7: required by substitution of ‘template using stan::plain_type_t = typename stan::plain_type::type [with T = const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > > >]’ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:179:0: required from ‘auto stan::math::subtract(const Arith&, const VarMat&) [with Arith = Eigen::Matrix; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 179 | using op_ret_type = plain_type_t::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:183:0: required from ‘auto stan::math::subtract(const Arith&, const VarMat&) [with Arith = Eigen::Matrix; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 183 | arena_t ret(as_array_or_scalar(a) - arena_b.val().array()); stanExports_stanmarg.h:3299:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/tcrossprod.hpp:28:0: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/tcrossprod.hpp:28:0: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/tcrossprod.hpp:33:0: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/tcrossprod.hpp:33:0: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/tcrossprod.hpp:33:0: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:147:0: required from ‘auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Matrix; VarMat = Eigen::Matrix, -1, -1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 147 | = decltype((a.val().array() + as_array_or_scalar(b)).matrix()); stanExports_stanmarg.h:3341:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3341 | stan::math::add(stan::model::deep_copy(Y2Yc), 3342 | stan::model::rvalue(cov_d, "cov_d", stan::model::index_uni(clz))), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: required from ‘struct stan::is_base_pointer_convertible, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper > > > >’ 29 | = decltype(f(std::declval *>()))::value | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:21:71: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix::value), stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper > > >; Types = {Eigen::Matrix, -1, -1, 0, -1, -1>}]’ 23 | is_any_var_matrix::value, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:148:0: required from ‘auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Matrix; VarMat = Eigen::Matrix, -1, -1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 148 | using ret_type = return_var_matrix_t; stanExports_stanmarg.h:3341:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3341 | stan::math::add(stan::model::deep_copy(Y2Yc), 3342 | stan::model::rvalue(cov_d, "cov_d", stan::model::index_uni(clz))), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:150:0: required from ‘auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Matrix; VarMat = Eigen::Matrix, -1, -1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 150 | arena_t ret(arena_a.val().array() + as_array_or_scalar(b)); stanExports_stanmarg.h:3341:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3341 | stan::math::add(stan::model::deep_copy(Y2Yc), 3342 | stan::model::rvalue(cov_d, "cov_d", stan::model::index_uni(clz))), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3386:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3386 | stan::math::add(stan::math::multiply(nj, Sigma_b_z), Sigma_w), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix, -1, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 145 | arena_t res = arena_A.val() * arena_B.val().array(); stanExports_stanmarg.h:3386:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3386 | stan::math::add(stan::math::multiply(nj, Sigma_b_z), Sigma_w), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3386:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3386 | stan::math::add(stan::math::multiply(nj, Sigma_b_z), Sigma_w), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:163:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix, -1, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 163 | arena_B.adj().array() += arena_A * res.adj().array(); stanExports_stanmarg.h:3386:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3386 | stan::math::add(stan::math::multiply(nj, Sigma_b_z), Sigma_w), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:170:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix, -1, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 170 | arena_t res = arena_A.val() * arena_B.array(); stanExports_stanmarg.h:3386:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3386 | stan::math::add(stan::math::multiply(nj, Sigma_b_z), Sigma_w), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:172:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = int; T2 = Eigen::Matrix, -1, -1>; stan::require_not_matrix_t* = 0; stan::require_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 172 | arena_A.adj() += (res.adj().array() * arena_B.array()).sum(); stanExports_stanmarg.h:3386:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3386 | stan::math::add(stan::math::multiply(nj, Sigma_b_z), Sigma_w), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix::value), stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >; Types = {Eigen::Matrix, -1, -1, 0, -1, -1>, Eigen::Matrix, -1, -1, 0, -1, -1>}]’ 23 | is_any_var_matrix::value, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:31:0: required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix, -1, -1>; Mat2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]’ 31 | using ret_type = return_var_matrix_t; stanExports_stanmarg.h:3409:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3409 | q_zz = stan::math::sum(stan::math::elt_multiply(Vinv_11, Y2Yc_zz)); stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:35:0: required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix, -1, -1>; Mat2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]’ 35 | arena_t ret(arena_m1.val().cwiseProduct(arena_m2.val())); stanExports_stanmarg.h:3409:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3409 | q_zz = stan::math::sum(stan::math::elt_multiply(Vinv_11, Y2Yc_zz)); stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:49:0: required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix, -1, -1>; Mat2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]’ 49 | arena_t ret(arena_m1.val().cwiseProduct(arena_m2)); stanExports_stanmarg.h:3409:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3409 | q_zz = stan::math::sum(stan::math::elt_multiply(Vinv_11, Y2Yc_zz)); stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:51:0: required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix, -1, -1>; Mat2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]’ 51 | arena_m1.adj().array() += arena_m2.array() * ret.adj().array(); stanExports_stanmarg.h:3409:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3409 | q_zz = stan::math::sum(stan::math::elt_multiply(Vinv_11, Y2Yc_zz)); stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:57:0: required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix, -1, -1>; Mat2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]’ 57 | arena_t ret(arena_m1.cwiseProduct(arena_m2.val())); stanExports_stanmarg.h:3409:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3409 | q_zz = stan::math::sum(stan::math::elt_multiply(Vinv_11, Y2Yc_zz)); stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:154:0: required from ‘auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = Eigen::Matrix; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 154 | (a.val().array() - as_array_or_scalar(b)).matrix())>; stanExports_stanmarg.h:3477:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3477 | stan::math::subtract(nperclus, stan::math::to_vector(clus_size_ns)), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: required from ‘struct stan::is_base_pointer_convertible, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper > > > >’ 29 | = decltype(f(std::declval *>()))::value | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:21:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:22:7: recursively required by substitution of ‘template struct stan::plain_type, stan::is_eigen::type> >::value, void>::type> [with T = const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper > > >]’ 22 | using plain_type_t = typename plain_type::type; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:22:7: required by substitution of ‘template using stan::plain_type_t = typename stan::plain_type::type [with T = const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper > > >]’ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:153:0: required from ‘auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = Eigen::Matrix; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 153 | using op_ret_type = plain_type_t::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3477 | stan::math::subtract(nperclus, stan::math::to_vector(clus_size_ns)), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:157:0: required from ‘auto stan::math::subtract(const VarMat&, const Arith&) [with Arith = Eigen::Matrix; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 157 | arena_t ret(arena_a.val().array() - as_array_or_scalar(b)); stanExports_stanmarg.h:3477:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3477 | stan::math::subtract(nperclus, stan::math::to_vector(clus_size_ns)), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix::value), stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, const Eigen::Matrix >; Types = {Eigen::Matrix, -1, 1, 0, -1, 1>, Eigen::Matrix}]’ 23 | is_any_var_matrix::value, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:31:0: required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix, -1, 1>; Mat2 = Eigen::Matrix; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]’ 31 | using ret_type = return_var_matrix_t; stanExports_stanmarg.h:3492:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3492 | stan::math::elt_multiply(L, stan::math::to_vector(clus_size_ns)), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:35:0: required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix, -1, 1>; Mat2 = Eigen::Matrix; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]’ 35 | arena_t ret(arena_m1.val().cwiseProduct(arena_m2.val())); stanExports_stanmarg.h:3492:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3492 | stan::math::elt_multiply(L, stan::math::to_vector(clus_size_ns)), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:49:0: required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix, -1, 1>; Mat2 = Eigen::Matrix; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]’ 49 | arena_t ret(arena_m1.val().cwiseProduct(arena_m2)); stanExports_stanmarg.h:3492:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3492 | stan::math::elt_multiply(L, stan::math::to_vector(clus_size_ns)), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:51:0: required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix, -1, 1>; Mat2 = Eigen::Matrix; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]’ 51 | arena_m1.adj().array() += arena_m2.array() * ret.adj().array(); stanExports_stanmarg.h:3492:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3492 | stan::math::elt_multiply(L, stan::math::to_vector(clus_size_ns)), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:57:0: required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Matrix, -1, 1>; Mat2 = Eigen::Matrix; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]’ 57 | arena_t ret(arena_m1.cwiseProduct(arena_m2.val())); stanExports_stanmarg.h:3492:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3492 | stan::math::elt_multiply(L, stan::math::to_vector(clus_size_ns)), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:50: required from ‘stan::math::as_array_or_scalar, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >&>(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >&):: [with auto:13 = const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]’ 57 | return make_holder([](auto& x) { return x.array(); }, std::forward(v)); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >&>(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >&)::; Args = {const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >&}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:21: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3497:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3497 | stan::math::add(stan::math::multiply(nperclus, (N_within + N_both)), 3498 | stan::math::multiply(stan::math::to_vector(clus_size_ns), N_between)), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:147:0: required from ‘auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 147 | = decltype((a.val().array() + as_array_or_scalar(b)).matrix()); stanExports_stanmarg.h:3497:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3497 | stan::math::add(stan::math::multiply(nperclus, (N_within + N_both)), 3498 | stan::math::multiply(stan::math::to_vector(clus_size_ns), N_between)), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: required from ‘struct stan::is_base_pointer_convertible, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ 29 | = decltype(f(std::declval *>()))::value | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:21:71: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix::value), stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >; Types = {Eigen::Matrix, -1, 1, 0, -1, 1>}]’ 23 | is_any_var_matrix::value, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:148:0: required from ‘auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 148 | using ret_type = return_var_matrix_t; stanExports_stanmarg.h:3497:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3497 | stan::math::add(stan::math::multiply(nperclus, (N_within + N_both)), 3498 | stan::math::multiply(stan::math::to_vector(clus_size_ns), N_between)), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:150:0: required from ‘auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 150 | arena_t ret(arena_a.val().array() + as_array_or_scalar(b)); stanExports_stanmarg.h:3497:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3497 | stan::math::add(stan::math::multiply(nperclus, (N_within + N_both)), 3498 | stan::math::multiply(stan::math::to_vector(clus_size_ns), N_between)), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/mdivide_left_ldlt.hpp:32:0: required from ‘auto stan::math::mdivide_left_ldlt(LDLT_factor&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix; stan::require_all_matrix_t* = 0; stan::require_any_st_var* = 0]’ 32 | check_multiplicable("mdivide_left_ldlt", "A", A.matrix().val(), "B", B); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/mdivide_left_ldlt.hpp:41:0: required from ‘auto stan::math::mdivide_left_ldlt(LDLT_factor&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix; stan::require_all_matrix_t* = 0; stan::require_any_st_var* = 0]’ 41 | arena_t res = A.ldlt().solve(arena_B.val()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/mdivide_left_ldlt.hpp:45:0: required from ‘auto stan::math::mdivide_left_ldlt(LDLT_factor&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::Matrix; stan::require_all_matrix_t* = 0; stan::require_any_st_var* = 0]’ 45 | promote_scalar_t adjB = ldlt_ptr->solve(res.adj()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, -1, 1, false> >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/ref_type.hpp:42:38: required from ‘struct stan::ref_type_if, -1>&, void>’ 42 | template match::MatchAtCompileTime | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/ref_type.hpp:54:7: required by substitution of ‘template using stan::ref_type_t = typename stan::ref_type_if::type [with T = const Eigen::VectorBlock, -1>&]’ 54 | using ref_type_t = typename ref_type_if::type; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:17:24: required by substitution of ‘template stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::VectorBlock, -1>&]’ 17 | inline ref_type_t to_ref(T&& a) { | ^~~~~~ stanExports_stanmarg.h:4468:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4468 | const auto& xbar = stan::math::to_ref(xbar_arg__); stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, -1, -1, false> >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/ref_type.hpp:42:38: required from ‘struct stan::ref_type_if, -1, -1, false>&, void>’ 42 | template match::MatchAtCompileTime | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/ref_type.hpp:54:7: required by substitution of ‘template using stan::ref_type_t = typename stan::ref_type_if::type [with T = const Eigen::Block, -1, -1, false>&]’ 54 | using ref_type_t = typename ref_type_if::type; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:17:24: required by substitution of ‘template stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Block, -1, -1, false>&]’ 17 | inline ref_type_t to_ref(T&& a) { | ^~~~~~ stanExports_stanmarg.h:4469:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4469 | const auto& S = stan::math::to_ref(S_arg__); stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:50: required from ‘stan::math::as_array_or_scalar, -1>&>(const Eigen::VectorBlock, -1>&):: [with auto:13 = const Eigen::VectorBlock, -1>]’ 57 | return make_holder([](auto& x) { return x.array(); }, std::forward(v)); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4492:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:180:0: required from ‘auto stan::math::subtract(const Arith&, const VarMat&) [with Arith = Eigen::VectorBlock, -1>; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 180 | (as_array_or_scalar(a) - b.val().array()).matrix())>; stanExports_stanmarg.h:4492:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: required from ‘struct stan::is_base_pointer_convertible, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > > > >’ 29 | = decltype(f(std::declval *>()))::value | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:21:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:22:7: recursively required by substitution of ‘template struct stan::plain_type, stan::is_eigen::type> >::value, void>::type> [with T = const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > > >]’ 22 | using plain_type_t = typename plain_type::type; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/plain_type.hpp:22:7: required by substitution of ‘template using stan::plain_type_t = typename stan::plain_type::type [with T = const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::ArrayWrapper, -1, 1> >::val_Op, const Eigen::Matrix, -1, 1> > > > >]’ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:179:0: required from ‘auto stan::math::subtract(const Arith&, const VarMat&) [with Arith = Eigen::VectorBlock, -1>; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 179 | using op_ret_type = plain_type_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::ArrayWrapper, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_subtraction.hpp:183:0: required from ‘auto stan::math::subtract(const Arith&, const VarMat&) [with Arith = Eigen::VectorBlock, -1>; VarMat = Eigen::Matrix, -1, 1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 183 | arena_t ret(as_array_or_scalar(a) - arena_b.val().array()); stanExports_stanmarg.h:4492:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4492:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix::value), stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Types = {Eigen::Matrix, -1, 1, 0, -1, 1>, Eigen::Transpose, -1, 1, 0, -1, 1> >}]’ 23 | is_any_var_matrix::value, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:36:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, 1>; T2 = Eigen::Transpose, -1, 1> >; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 36 | using return_t stanExports_stanmarg.h:4492:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4492:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4492:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl, 1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4492:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4492:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4492:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4492:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1> >&>(const Eigen::Transpose, -1, 1> >&)::::, const Eigen::Transpose, -1, 1> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1> >&>(const Eigen::Transpose, -1, 1> >&)::::, const Eigen::Transpose, -1, 1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1> >&>(const Eigen::Transpose, -1, 1> >&)::::, const Eigen::Transpose, -1, 1> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, 1> >&>(const Eigen::Transpose, -1, 1> >&)::::, const Eigen::Transpose, -1, 1> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, 1> >&>(const Eigen::Transpose, -1, 1> >&)::::, const Eigen::Transpose, -1, 1> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:27: required from ‘stan::math::value_of, -1, 1> >&>(const Eigen::Transpose, -1, 1> >&):: [with auto:11 = const Eigen::Transpose, -1, 1> >]’ 75 | return a.unaryExpr([](const auto& scal) { return value_of(scal); }); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4492:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix::value), stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Types = {Eigen::Matrix, -1, 1, 0, -1, 1>, Eigen::Transpose, -1, 1, 0, -1, 1> >}]’ 23 | is_any_var_matrix::value, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:55:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, 1>; T2 = Eigen::Transpose, -1, 1> >; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 55 | using return_t stanExports_stanmarg.h:4492:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, 1>; T2 = Eigen::Transpose, -1, 1> >; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 57 | arena_t res = arena_A * arena_B.val_op(); stanExports_stanmarg.h:4492:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, 1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4492:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix::value), stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Types = {Eigen::Matrix, -1, 1, 0, -1, 1>, Eigen::Transpose, -1, 1, 0, -1, 1> >}]’ 23 | is_any_var_matrix::value, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:65:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, 1>; T2 = Eigen::Transpose, -1, 1> >; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 65 | using return_t stanExports_stanmarg.h:4492:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4492:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1, false> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:50: required from ‘stan::math::as_array_or_scalar, -1, -1, false>&>(const Eigen::Block, -1, -1, false>&):: [with auto:13 = const Eigen::Block, -1, -1, false>]’ 57 | return make_holder([](auto& x) { return x.array(); }, std::forward(v)); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4491:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4491 | stan::math::add(S, 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper, -1, -1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper, -1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper, -1, -1, false> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper, -1, -1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper, -1, -1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:147:0: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4491:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4491 | stan::math::add(S, 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper, -1, -1, false> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper, -1, -1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper, -1, -1, false> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper, -1, -1, false> > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: required from ‘struct stan::is_base_pointer_convertible, const Eigen::ArrayWrapper, -1, -1> >::val_Op, const Eigen::Matrix, -1, -1> > >, const Eigen::ArrayWrapper, -1, -1, false> > > > >’ 29 | = decltype(f(std::declval *>()))::value | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:21:71: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:148:0: required from ‘auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Block, -1, -1, false>; VarMat = Eigen::Matrix, -1, -1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 148 | using ret_type = return_var_matrix_t; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:169:0: required from ‘auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Block, -1, -1, false>; VarMat = Eigen::Matrix, -1, -1>; stan::require_st_arithmetic* = 0; stan::require_rev_matrix_t* = 0]’ 169 | return add(b, a); stanExports_stanmarg.h:4491:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4491 | stan::math::add(S, 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, -1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, -1, false> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, -1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper, -1, -1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:150:0: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4491:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4491 | stan::math::add(S, 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, -1, -1, false>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, -1, -1, false>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, -1, -1, false>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, -1>, -1, -1, false>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, -1>, -1, -1, false>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:27: required from ‘stan::math::value_of, -1, -1>, -1, -1, false>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false>&):: [with auto:11 = const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false>]’ 75 | return a.unaryExpr([](const auto& scal) { return value_of(scal); }); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4487:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4487 | stan::math::elt_multiply( 4488 | stan::model::rvalue(Supdate, "Supdate", 4489 | stan::model::index_min_max(1, Nobs), 4490 | stan::model::index_min_max(1, Nobs)), 4491 | stan::math::add(S, 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, -1>, -1, -1, false>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false> >, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, -1>, -1, -1, false>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false> >, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, -1>, -1, -1, false>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false> >, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, -1, -1>, -1, -1, false>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false> >, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, -1>, -1, -1, false>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false> >, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix::value), stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, -1>, -1, -1, false>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false> >, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >; Types = {Eigen::Block, -1, -1, 0, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Matrix, -1, -1, 0, -1, -1>}]’ 23 | is_any_var_matrix::value, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:31:0: required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Block, -1, -1>, -1, -1, false>, -1, -1, false>; Mat2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]’ 31 | using ret_type = return_var_matrix_t; stanExports_stanmarg.h:4487:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4487 | stan::math::elt_multiply( 4488 | stan::model::rvalue(Supdate, "Supdate", 4489 | stan::model::index_min_max(1, Nobs), 4490 | stan::model::index_min_max(1, Nobs)), 4491 | stan::math::add(S, 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, -1>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, -1>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:27: required from ‘stan::math::value_of, -1, -1>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>&):: [with auto:11 = const Eigen::Block, -1, -1>, -1, -1, false>]’ 75 | return a.unaryExpr([](const auto& scal) { return value_of(scal); }); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4487:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T1__ = Eigen::Matrix; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4487 | stan::math::elt_multiply( 4488 | stan::model::rvalue(Supdate, "Supdate", 4489 | stan::model::index_min_max(1, Nobs), 4490 | stan::model::index_min_max(1, Nobs)), 4491 | stan::math::add(S, 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14432:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14432 | lp_accum__.add(-multi_normal_suff( 14433 | stan::model::rvalue(YXbarstar, 14434 | "YXbarstar", 14435 | stan::model::index_uni(mm), 14436 | stan::model::index_multi( 14437 | stan::model::rvalue(xdatidx, 14438 | "xdatidx", 14439 | stan::model::index_min_max(1, 14440 | stan::model::rvalue(Nx, "Nx", 14441 | stan::model::index_uni(mm)))))), 14442 | stan::model::rvalue(Sstar, "Sstar", 14443 | stan::model::index_uni(mm), 14444 | stan::model::index_multi( 14445 | stan::model::rvalue(xdatidx, 14446 | "xdatidx", 14447 | stan::model::index_min_max(1, 14448 | stan::model::rvalue(Nx, "Nx", 14449 | stan::model::index_uni(mm))))), 14450 | stan::model::index_multi( 14451 | stan::model::rvalue(xdatidx, 14452 | "xdatidx", 14453 | stan::model::index_min_max(1, 14454 | stan::model::rvalue(Nx, "Nx", 14455 | stan::model::index_uni(mm)))))), 14456 | stan::model::rvalue(Mu, "Mu", 14457 | stan::model::index_uni(grpidx), 14458 | stan::model::index_multi( 14459 | stan::model::rvalue(xidx, "xidx", 14460 | stan::model::index_min_max(1, 14461 | stan::model::rvalue(Nx, "Nx", 14462 | stan::model::index_uni(mm)))))), 14463 | sig_inv_update( 14464 | stan::model::rvalue(Sigmainv, 14465 | "Sigmainv", 14466 | stan::model::index_uni(mm)), xidx, 14467 | stan::model::rvalue(Nx, "Nx", 14468 | stan::model::index_uni(mm)), (p + 14469 | q), 14470 | stan::model::rvalue(logdetSigma_grp, 14471 | "logdetSigma_grp", 14472 | stan::model::index_uni(grpidx)), 14473 | pstream__), ((r2 - r1) + 1), 14474 | pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, -1>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false> >, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, -1>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false> >, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, -1>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false> >, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, -1, -1>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false> >, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, -1>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false> >, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0: required by substitution of ‘template using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix::value), stan::math::var_value::type>::type, void>::type>, typename stan::math::promote_scalar_type, typename std::decay::type>::type, void>::type> [with ReturnType = const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, -1>, -1, -1, false>&>(const Eigen::Block, -1, -1>, -1, -1, false>&)::::, const Eigen::Block, -1, -1>, -1, -1, false> >, const Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >; Types = {Eigen::Block, -1, -1, 0, -1, -1>, -1, -1, false>, Eigen::Matrix, -1, -1, 0, -1, -1>}]’ 23 | is_any_var_matrix::value, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/elt_multiply.hpp:31:0: required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Block, -1, -1>, -1, -1, false>; Mat2 = Eigen::Matrix, -1, -1>; stan::require_all_matrix_t* = 0; stan::require_any_rev_matrix_t* = 0]’ 31 | using ret_type = return_var_matrix_t; stanExports_stanmarg.h:4487:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T1__ = Eigen::Matrix; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4487 | stan::math::elt_multiply( 4488 | stan::model::rvalue(Supdate, "Supdate", 4489 | stan::model::index_min_max(1, Nobs), 4490 | stan::model::index_min_max(1, Nobs)), 4491 | stan::math::add(S, 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14432:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14432 | lp_accum__.add(-multi_normal_suff( 14433 | stan::model::rvalue(YXbarstar, 14434 | "YXbarstar", 14435 | stan::model::index_uni(mm), 14436 | stan::model::index_multi( 14437 | stan::model::rvalue(xdatidx, 14438 | "xdatidx", 14439 | stan::model::index_min_max(1, 14440 | stan::model::rvalue(Nx, "Nx", 14441 | stan::model::index_uni(mm)))))), 14442 | stan::model::rvalue(Sstar, "Sstar", 14443 | stan::model::index_uni(mm), 14444 | stan::model::index_multi( 14445 | stan::model::rvalue(xdatidx, 14446 | "xdatidx", 14447 | stan::model::index_min_max(1, 14448 | stan::model::rvalue(Nx, "Nx", 14449 | stan::model::index_uni(mm))))), 14450 | stan::model::index_multi( 14451 | stan::model::rvalue(xdatidx, 14452 | "xdatidx", 14453 | stan::model::index_min_max(1, 14454 | stan::model::rvalue(Nx, "Nx", 14455 | stan::model::index_uni(mm)))))), 14456 | stan::model::rvalue(Mu, "Mu", 14457 | stan::model::index_uni(grpidx), 14458 | stan::model::index_multi( 14459 | stan::model::rvalue(xidx, "xidx", 14460 | stan::model::index_min_max(1, 14461 | stan::model::rvalue(Nx, "Nx", 14462 | stan::model::index_uni(mm)))))), 14463 | sig_inv_update( 14464 | stan::model::rvalue(Sigmainv, 14465 | "Sigmainv", 14466 | stan::model::index_uni(mm)), xidx, 14467 | stan::model::rvalue(Nx, "Nx", 14468 | stan::model::index_uni(mm)), (p + 14469 | q), 14470 | stan::model::rvalue(logdetSigma_grp, 14471 | "logdetSigma_grp", 14472 | stan::model::index_uni(grpidx)), 14473 | pstream__), ((r2 - r1) + 1), 14474 | pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&)::::, const Eigen::ArrayWrapper, -1, 1> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:27: required from ‘stan::math::value_of, -1, 1> > >(Eigen::ArrayWrapper, -1, 1> >&&):: [with auto:11 = Eigen::ArrayWrapper, -1, 1> >]’ 75 | return a.unaryExpr([](const auto& scal) { return value_of(scal); }); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:58:64: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_loc = Eigen::Matrix, -1, 1>; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 58 | decltype(auto) y_val = to_ref(as_value_column_array_or_scalar(y_ref)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ stanExports_stanmarg.h:14522:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14522 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14523 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:50: required from ‘stan::math::as_array_or_scalar, 0, Eigen::Stride<0, 0> > >(Eigen::Map, 0, Eigen::Stride<0, 0> >&&):: [with auto:13 = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 57 | return make_holder([](auto& x) { return x.array(); }, std::forward(v)); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:60:68: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_loc = Eigen::Matrix, -1, 1>; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 60 | decltype(auto) sigma_val = to_ref(as_value_column_array_or_scalar(sigma_ref)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ stanExports_stanmarg.h:14522:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14522 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14523 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/inv.hpp:55:54: required from ‘stan::math::inv, 0, Eigen::Stride<0, 0> > > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&):: [with auto:220 = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >]’ 55 | x, [](const auto& v) { return v.array().inverse(); }); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:76:68: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_loc = Eigen::Matrix, -1, 1>; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 76 | = to_ref_if::value>(inv(sigma_val)); | ~~~^~~~~~~~~~~ stanExports_stanmarg.h:14522:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14522 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14523 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:40: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_loc = Eigen::Matrix, -1, 1>; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 77 | const auto& y_scaled = to_ref((y_val - mu_val) * inv_sigma); | ~~~~~~~^~~~~~~~~ stanExports_stanmarg.h:14522:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14522 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14523 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:50: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_loc = Eigen::Matrix, -1, 1>; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 77 | const auto& y_scaled = to_ref((y_val - mu_val) * inv_sigma); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~ stanExports_stanmarg.h:14522:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14522 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14523 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:79:62: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_loc = Eigen::Matrix, -1, 1>; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 79 | = to_ref_if::value>(y_scaled * y_scaled); | ~~~~~~~~~^~~~~~~~~~ stanExports_stanmarg.h:14522:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14522 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14523 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log.hpp:66:50: required from ‘stan::math::log, 0, Eigen::Stride<0, 0> > > >(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&):: [with auto:169 = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >]’ 66 | x, [](const auto& v) { return v.array().log(); }); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:87:20: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_loc = Eigen::Matrix, -1, 1>; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 87 | logp -= sum(log(sigma_val)) * N / math::size(sigma); | ~~~^~~~~~~~~~~ stanExports_stanmarg.h:14522:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14522 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14523 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:96:35: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_loc = Eigen::Matrix, -1, 1>; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 96 | partials<0>(ops_partials) = -scaled_diff; | ^~~~~~~~~~~~ stanExports_stanmarg.h:14522:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14522 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14523 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:99:45: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_loc = Eigen::Matrix, -1, 1>; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 99 | partials<2>(ops_partials) = inv_sigma * y_scaled_sq - inv_sigma; | ~~~~~~~~~~^~~~~~~~~~~~~ stanExports_stanmarg.h:14522:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14522 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14523 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:99:59: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_loc = Eigen::Matrix, -1, 1>; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 99 | partials<2>(ops_partials) = inv_sigma * y_scaled_sq - inv_sigma; | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ stanExports_stanmarg.h:14522:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14522 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14523 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from ‘static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >]’ 62 | return x.unaryExpr([](auto&& x) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~ 63 | return apply_scalar_unary>::apply(x); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | }); | ~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:94:23: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 94 | logp = -sum(lgamma(alpha_val)) * N / math::size(alpha); | ~~~~~~^~~~~~~~~~~ stanExports_stanmarg.h:14604:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14604 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14605 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:100:27: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 100 | logp += sum(alpha_val * log_beta) * N / max_size(alpha, beta); | ~~~~~~~~~~^~~~~~~~~~ stanExports_stanmarg.h:14604:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14604 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14605 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:102:44: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 102 | partials<1>(ops_partials) = log_beta + log_y - digamma(alpha_val); | ~~~~~~~~~^~~~~~~ stanExports_stanmarg.h:14604:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14604 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14605 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from ‘static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::digamma_fun; T = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >]’ 62 | return x.unaryExpr([](auto&& x) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~ 63 | return apply_scalar_unary>::apply(x); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | }); | ~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:102:61: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 102 | partials<1>(ops_partials) = log_beta + log_y - digamma(alpha_val); | ~~~~~~~^~~~~~~~~~~ stanExports_stanmarg.h:14604:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14604 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14605 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array >, const Eigen::CwiseUnaryOp, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array >, const Eigen::CwiseUnaryOp, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array >, const Eigen::CwiseUnaryOp, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array >, const Eigen::CwiseUnaryOp, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array >, const Eigen::CwiseUnaryOp, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:102:52: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 102 | partials<1>(ops_partials) = log_beta + log_y - digamma(alpha_val); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14604:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14604 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14605 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:106:28: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 106 | logp += sum((alpha_val - 1.0) * log_y) * N / max_size(alpha, y); | ~~~~~~~~~~~^~~~~~ stanExports_stanmarg.h:14604:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14604 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14605 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:106:35: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 106 | logp += sum((alpha_val - 1.0) * log_y) * N / max_size(alpha, y); | ~~~~~~~~~~~~~~~~~~^~~~~~~ stanExports_stanmarg.h:14604:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14604 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14605 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:109:26: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 109 | logp -= sum(beta_val * y_val) * N / max_size(beta, y); | ~~~~~~~~~^~~~~~~ stanExports_stanmarg.h:14604:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14604 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14605 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:113:44: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 113 | partials<0>(ops_partials) = (alpha_val - 1) / y_val - beta_val; | ~~~~~~~~~~~^~~~ stanExports_stanmarg.h:14604:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14604 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14605 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:113:49: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 113 | partials<0>(ops_partials) = (alpha_val - 1) / y_val - beta_val; | ~~~~~~~~~~~~~~~~^~~~~~~ stanExports_stanmarg.h:14604:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14604 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14605 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:113:57: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 113 | partials<0>(ops_partials) = (alpha_val - 1) / y_val - beta_val; | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ stanExports_stanmarg.h:14604:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14604 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14605 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:116:43: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 116 | partials<2>(ops_partials) = alpha_val / beta_val - y_val; | ~~~~~~~~~~^~~~~~~~~~ stanExports_stanmarg.h:14604:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14604 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14605 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:116:54: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 116 | partials<2>(ops_partials) = alpha_val / beta_val - y_val; | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ stanExports_stanmarg.h:14604:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14604 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14605 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, void>::apply(const Eigen::Array&)::, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, void>::apply(const Eigen::Array&)::, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, void>::apply(const Eigen::Array&)::, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, void>::apply(const Eigen::Array&)::, const Eigen::Array, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, void>::apply(const Eigen::Array&)::, const Eigen::Array >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from ‘static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::log1m_fun; T = Eigen::Array]’ 62 | return x.unaryExpr([](auto&& x) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~ 63 | return apply_scalar_unary>::apply(x); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | }); | ~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:79:37: required from ‘stan::return_type_t stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_scale_succ = std::vector; T_scale_fail = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 79 | const auto& log1m_y = to_ref(log1m(y_val)); | ~~~~~^~~~~~~ stanExports_stanmarg.h:14610:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14610 | lp_accum__.add((stan::math::beta_lpdf( 14611 | stan::math::multiply(.5, 14612 | stan::math::add(1, Theta_r_free)), theta_r_alpha, 14613 | theta_r_beta) + (stan::math::log(.5) * stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:99:61: required from ‘stan::return_type_t stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_scale_succ = std::vector; T_scale_fail = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 99 | = (alpha_val - 1) / y_val + (beta_val - 1) / (y_val - 1); | ~~~~~~~^~~~ stanExports_stanmarg.h:14610:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14610 | lp_accum__.add((stan::math::beta_lpdf( 14611 | stan::math::multiply(.5, 14612 | stan::math::add(1, Theta_r_free)), theta_r_alpha, 14613 | theta_r_beta) + (stan::math::log(.5) * stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:99:52: required from ‘stan::return_type_t stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_scale_succ = std::vector; T_scale_fail = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 99 | = (alpha_val - 1) / y_val + (beta_val - 1) / (y_val - 1); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~ stanExports_stanmarg.h:14610:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14610 | lp_accum__.add((stan::math::beta_lpdf( 14611 | stan::math::multiply(.5, 14612 | stan::math::add(1, Theta_r_free)), theta_r_alpha, 14613 | theta_r_beta) + (stan::math::log(.5) * stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:99:35: required from ‘stan::return_type_t stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_scale_succ = std::vector; T_scale_fail = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 99 | = (alpha_val - 1) / y_val + (beta_val - 1) / (y_val - 1); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14610:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14610 | lp_accum__.add((stan::math::beta_lpdf( 14611 | stan::math::multiply(.5, 14612 | stan::math::add(1, Theta_r_free)), theta_r_alpha, 14613 | theta_r_beta) + (stan::math::log(.5) * stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:105:23: required from ‘stan::return_type_t stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_scale_succ = std::vector; T_scale_fail = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 105 | alpha_val + beta_val); | ~~~~~~~~~~^~~~~~~~~~ stanExports_stanmarg.h:14610:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14610 | lp_accum__.add((stan::math::beta_lpdf( 14611 | stan::math::multiply(.5, 14612 | stan::math::add(1, Theta_r_free)), theta_r_alpha, 14613 | theta_r_beta) + (stan::math::log(.5) * stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from ‘static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >]’ 62 | return x.unaryExpr([](auto&& x) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~ 63 | return apply_scalar_unary>::apply(x); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | }); | ~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:106:23: required from ‘stan::return_type_t stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_scale_succ = std::vector; T_scale_fail = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 106 | logp += sum(lgamma(alpha_beta)) * N / max_size(alpha, beta); | ~~~~~~^~~~~~~~~~~~ stanExports_stanmarg.h:14610:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14610 | lp_accum__.add((stan::math::beta_lpdf( 14611 | stan::math::multiply(.5, 14612 | stan::math::add(1, Theta_r_free)), theta_r_alpha, 14613 | theta_r_beta) + (stan::math::log(.5) * stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23: required from ‘static auto stan::math::apply_scalar_unary::type>::value, void>::type>::apply(const T&) [with F = stan::math::digamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >]’ 62 | return x.unaryExpr([](auto&& x) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~ 63 | return apply_scalar_unary>::apply(x); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | }); | ~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:110:64: required from ‘stan::return_type_t stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_scale_succ = std::vector; T_scale_fail = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 110 | && !is_constant_all::value > (digamma(alpha_beta)); | ~~~~~~~^~~~~~~~~~~~ stanExports_stanmarg.h:14610:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14610 | lp_accum__.add((stan::math::beta_lpdf( 14611 | stan::math::multiply(.5, 14612 | stan::math::add(1, Theta_r_free)), theta_r_alpha, 14613 | theta_r_beta) + (stan::math::log(.5) * stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:113:21: required from ‘stan::return_type_t stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_scale_succ = std::vector; T_scale_fail = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 113 | = log_y + digamma_alpha_beta - digamma(alpha_val); | ~~~~~~^~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14610:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14610 | lp_accum__.add((stan::math::beta_lpdf( 14611 | stan::math::multiply(.5, 14612 | stan::math::add(1, Theta_r_free)), theta_r_alpha, 14613 | theta_r_beta) + (stan::math::log(.5) * stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >, const Eigen::CwiseUnaryOp, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >, const Eigen::CwiseUnaryOp, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >, const Eigen::CwiseUnaryOp, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >, const Eigen::CwiseUnaryOp, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, void>::apply(const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >&)::, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >, const Eigen::CwiseUnaryOp, 0, Eigen::Stride<0, 0> > >, void>::apply(const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:113:42: required from ‘stan::return_type_t stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_scale_succ = std::vector; T_scale_fail = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 113 | = log_y + digamma_alpha_beta - digamma(alpha_val); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14610:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14610 | lp_accum__.add((stan::math::beta_lpdf( 14611 | stan::math::multiply(.5, 14612 | stan::math::add(1, Theta_r_free)), theta_r_alpha, 14613 | theta_r_beta) + (stan::math::log(.5) * stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_symmetric.hpp:41:29: required from ‘void stan::math::check_symmetric(const char*, const char*, const EigMat&) [with EigMat = Eigen::Ref, 0, Eigen::OuterStride<> >; stan::require_matrix_t* = 0]’ 41 | const auto& y_ref = to_ref(y); | ~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/inverse_spd.hpp:32:18: required from ‘Eigen::Matrix::type, -1, -1> stan::math::inverse_spd(const EigMat&) [with EigMat = Eigen::Matrix; typename stan::value_type::type = double]’ 32 | check_symmetric("inverse_spd", "m", m_ref); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:16219:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16219 | stan::math::inverse_spd( 16220 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Diagonal, 0>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Diagonal, 0> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:463:34: required from ‘typename MatrixType::RealScalar Eigen::ColPivHouseholderQR::logAbsDeterminant() const [with _MatrixType = Eigen::Matrix; typename MatrixType::RealScalar = double]’ 463 | return m_qr.diagonal().cwiseAbs().array().log().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:51: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16224:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16224 | stan::math::log_determinant( 16225 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Diagonal, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Diagonal, 0> > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:463:42: required from ‘typename MatrixType::RealScalar Eigen::ColPivHouseholderQR::logAbsDeterminant() const [with _MatrixType = Eigen::Matrix; typename MatrixType::RealScalar = double]’ 463 | return m_qr.diagonal().cwiseAbs().array().log().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:51: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16224:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16224 | stan::math::log_determinant( 16225 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Diagonal, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Diagonal, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Diagonal, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Diagonal, 0> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Diagonal, 0> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:463:48: required from ‘typename MatrixType::RealScalar Eigen::ColPivHouseholderQR::logAbsDeterminant() const [with _MatrixType = Eigen::Matrix; typename MatrixType::RealScalar = double]’ 463 | return m_qr.diagonal().cwiseAbs().array().log().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:51: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16224:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16224 | stan::math::log_determinant( 16225 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_left_spd.hpp:46:19: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_var* = 0; typename stan::return_type::type = double]’ 46 | return llt.solve( | ~~~~~~~~~^ 47 | Eigen::Matrix, EigMat2::RowsAtCompileTime, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 48 | EigMat2::ColsAtCompileTime>(b)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:4435:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix; T4__ = double; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:16232:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16232 | sig_inv_update( 16233 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 16234 | stan::model::index_uni( 16235 | stan::model::rvalue(grpnum, "grpnum", 16236 | stan::model::index_uni(patt)))), 16237 | stan::model::rvalue(Obsvar, "Obsvar", 16238 | stan::model::index_uni(patt), stan::model::index_omni()), 16239 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 16240 | (p + q), 16241 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 16242 | stan::model::index_uni( 16243 | stan::model::rvalue(grpnum, "grpnum", 16244 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4488:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T3__ = Eigen::Block, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4488 | stan::model::rvalue(Supdate, "Supdate", 4489 | stan::model::index_min_max(1, Nobs), 4490 | stan::model::index_min_max(1, Nobs)), stanExports_stanmarg.h:4815:0: required from ‘Eigen::Matrix::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type>::type, -1, 1> model_stanmarg_namespace::calc_log_lik_x(const std::vector >&, const T1__&, const T2__&, const T3__&, const T4__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = Eigen::Matrix; T2__ = Eigen::Matrix; T3__ = Eigen::Matrix; T4__ = Eigen::Matrix; stan::require_all_t, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4815 | multi_normal_suff( 4816 | stan::model::rvalue(mean_d, "mean_d", stan::model::index_uni(cc), 4817 | stan::model::index_multi( 4818 | stan::model::rvalue(Xvar, "Xvar", 4819 | stan::model::index_min_max(1, Nx)))), 4820 | stan::model::rvalue(cov_w, "cov_w", 4821 | stan::model::index_min_max(1, Nx), 4822 | stan::model::index_min_max(1, Nx)), 4823 | stan::model::rvalue(mean_d, "mean_d", stan::model::index_uni(cc), 4824 | stan::model::index_multi( 4825 | stan::model::rvalue(Xvar, "Xvar", 4826 | stan::model::index_min_max(1, Nx)))), 4827 | stan::model::rvalue(cov_w_inv, "cov_w_inv", 4828 | stan::model::index_min_max(1, (Nx + 1)), 4829 | stan::model::index_min_max(1, (Nx + 1))), 4830 | stan::model::rvalue(cluster_size, "cluster_size", 4831 | stan::model::index_uni(cc)), pstream__)), stanExports_stanmarg.h:17614:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17614 | calc_log_lik_x( 17615 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17616 | stan::model::index_min_max(r2, (clusidx - 1))), 17617 | stan::model::rvalue(mnvecs, "mnvecs", 17618 | stan::model::index_uni(2)), 17619 | stan::model::rvalue(covmats, "covmats", 17620 | stan::model::index_uni(1)), 17621 | stan::model::rvalue(covmats, "covmats", 17622 | stan::model::index_uni(2)), 17623 | stan::model::rvalue(covmats, "covmats", 17624 | stan::model::index_uni(3)), 17625 | stan::model::rvalue(nclus, "nclus", 17626 | stan::model::index_uni(gg)), 17627 | stan::model::rvalue(cluster_size, "cluster_size", 17628 | stan::model::index_min_max(r2, (clusidx - 1))), 17629 | stan::model::rvalue(Xvar, "Xvar", 17630 | stan::model::index_uni(gg)), 17631 | stan::model::rvalue(Xbetvar, "Xbetvar", 17632 | stan::model::index_uni(gg)), 17633 | stan::model::rvalue(Nx, "Nx", 17634 | stan::model::index_uni(gg)), 17635 | stan::model::rvalue(Nx_between, "Nx_between", 17636 | stan::model::index_uni(gg)), pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: required from ‘auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Block, -1, -1, false>; Mat2 = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0>; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 45 | return m1 + m2; | ~~~^~~~ stanExports_stanmarg.h:4491:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T3__ = Eigen::Block, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4491 | stan::math::add(S, 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:4815:0: required from ‘Eigen::Matrix::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type>::type, -1, 1> model_stanmarg_namespace::calc_log_lik_x(const std::vector >&, const T1__&, const T2__&, const T3__&, const T4__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = Eigen::Matrix; T2__ = Eigen::Matrix; T3__ = Eigen::Matrix; T4__ = Eigen::Matrix; stan::require_all_t, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4815 | multi_normal_suff( 4816 | stan::model::rvalue(mean_d, "mean_d", stan::model::index_uni(cc), 4817 | stan::model::index_multi( 4818 | stan::model::rvalue(Xvar, "Xvar", 4819 | stan::model::index_min_max(1, Nx)))), 4820 | stan::model::rvalue(cov_w, "cov_w", 4821 | stan::model::index_min_max(1, Nx), 4822 | stan::model::index_min_max(1, Nx)), 4823 | stan::model::rvalue(mean_d, "mean_d", stan::model::index_uni(cc), 4824 | stan::model::index_multi( 4825 | stan::model::rvalue(Xvar, "Xvar", 4826 | stan::model::index_min_max(1, Nx)))), 4827 | stan::model::rvalue(cov_w_inv, "cov_w_inv", 4828 | stan::model::index_min_max(1, (Nx + 1)), 4829 | stan::model::index_min_max(1, (Nx + 1))), 4830 | stan::model::rvalue(cluster_size, "cluster_size", 4831 | stan::model::index_uni(cc)), pstream__)), stanExports_stanmarg.h:17614:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17614 | calc_log_lik_x( 17615 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17616 | stan::model::index_min_max(r2, (clusidx - 1))), 17617 | stan::model::rvalue(mnvecs, "mnvecs", 17618 | stan::model::index_uni(2)), 17619 | stan::model::rvalue(covmats, "covmats", 17620 | stan::model::index_uni(1)), 17621 | stan::model::rvalue(covmats, "covmats", 17622 | stan::model::index_uni(2)), 17623 | stan::model::rvalue(covmats, "covmats", 17624 | stan::model::index_uni(3)), 17625 | stan::model::rvalue(nclus, "nclus", 17626 | stan::model::index_uni(gg)), 17627 | stan::model::rvalue(cluster_size, "cluster_size", 17628 | stan::model::index_min_max(r2, (clusidx - 1))), 17629 | stan::model::rvalue(Xvar, "Xvar", 17630 | stan::model::index_uni(gg)), 17631 | stan::model::rvalue(Xbetvar, "Xbetvar", 17632 | stan::model::index_uni(gg)), 17633 | stan::model::rvalue(Nx, "Nx", 17634 | stan::model::index_uni(gg)), 17635 | stan::model::rvalue(Nx_between, "Nx_between", 17636 | stan::model::index_uni(gg)), pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/elt_multiply.hpp:28:25: required from ‘auto stan::math::elt_multiply(const Mat1&, const Mat2&) [with Mat1 = Eigen::Block, -1, -1, false>, -1, -1, false>; Mat2 = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> >; stan::require_all_eigen_t* = 0; stan::require_all_not_st_var* = 0]’ 28 | return m1.cwiseProduct(m2); | ~~~~~~~~~~~~~~~^~~~ stanExports_stanmarg.h:4487:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T3__ = Eigen::Block, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4487 | stan::math::elt_multiply( 4488 | stan::model::rvalue(Supdate, "Supdate", 4489 | stan::model::index_min_max(1, Nobs), 4490 | stan::model::index_min_max(1, Nobs)), 4491 | stan::math::add(S, 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:4815:0: required from ‘Eigen::Matrix::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type>::type, -1, 1> model_stanmarg_namespace::calc_log_lik_x(const std::vector >&, const T1__&, const T2__&, const T3__&, const T4__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = Eigen::Matrix; T2__ = Eigen::Matrix; T3__ = Eigen::Matrix; T4__ = Eigen::Matrix; stan::require_all_t, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4815 | multi_normal_suff( 4816 | stan::model::rvalue(mean_d, "mean_d", stan::model::index_uni(cc), 4817 | stan::model::index_multi( 4818 | stan::model::rvalue(Xvar, "Xvar", 4819 | stan::model::index_min_max(1, Nx)))), 4820 | stan::model::rvalue(cov_w, "cov_w", 4821 | stan::model::index_min_max(1, Nx), 4822 | stan::model::index_min_max(1, Nx)), 4823 | stan::model::rvalue(mean_d, "mean_d", stan::model::index_uni(cc), 4824 | stan::model::index_multi( 4825 | stan::model::rvalue(Xvar, "Xvar", 4826 | stan::model::index_min_max(1, Nx)))), 4827 | stan::model::rvalue(cov_w_inv, "cov_w_inv", 4828 | stan::model::index_min_max(1, (Nx + 1)), 4829 | stan::model::index_min_max(1, (Nx + 1))), 4830 | stan::model::rvalue(cluster_size, "cluster_size", 4831 | stan::model::index_uni(cc)), pstream__)), stanExports_stanmarg.h:17614:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17614 | calc_log_lik_x( 17615 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17616 | stan::model::index_min_max(r2, (clusidx - 1))), 17617 | stan::model::rvalue(mnvecs, "mnvecs", 17618 | stan::model::index_uni(2)), 17619 | stan::model::rvalue(covmats, "covmats", 17620 | stan::model::index_uni(1)), 17621 | stan::model::rvalue(covmats, "covmats", 17622 | stan::model::index_uni(2)), 17623 | stan::model::rvalue(covmats, "covmats", 17624 | stan::model::index_uni(3)), 17625 | stan::model::rvalue(nclus, "nclus", 17626 | stan::model::index_uni(gg)), 17627 | stan::model::rvalue(cluster_size, "cluster_size", 17628 | stan::model::index_min_max(r2, (clusidx - 1))), 17629 | stan::model::rvalue(Xvar, "Xvar", 17630 | stan::model::index_uni(gg)), 17631 | stan::model::rvalue(Xbetvar, "Xbetvar", 17632 | stan::model::index_uni(gg)), 17633 | stan::model::rvalue(Nx, "Nx", 17634 | stan::model::index_uni(gg)), 17635 | stan::model::rvalue(Nx_between, "Nx_between", 17636 | stan::model::index_uni(gg)), pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4235:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4235 | stan::math::crossprod( 4236 | stan::model::rvalue(YXfull, "YXfull", 4237 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17751:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17751 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17752 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, Eigen::Transpose, -1, -1, false> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, Eigen::Transpose, -1, -1, false> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, Eigen::Transpose, -1, -1, false> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, Eigen::Transpose, -1, -1, false> > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, Eigen::Transpose, -1, -1, false> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4235:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4235 | stan::math::crossprod( 4236 | stan::model::rvalue(YXfull, "YXfull", 4237 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17751:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17751 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17752 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase&>(Eigen::Matrix&, const char*, const index_multi&, index_uni)::::, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase&>(Eigen::Matrix&, const char*, const index_multi&, index_uni)::::, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase&>(Eigen::Matrix&, const char*, const index_multi&, index_uni)::::, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&, index_uni)::::, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:470:0: required from ‘stan::model::rvalue&>(Eigen::Matrix&, const char*, const index_multi&, index_uni):: [with auto:706 = Eigen::Matrix]’ 469 | return Eigen::Matrix, Eigen::Dynamic, 1>:: 470 | NullaryExpr(row_idx.ns_.size(), 471 | [name, &row_idx, col_i = col_idx.n_ - 1, 472 | &x_ref](Eigen::Index i) { 473 | math::check_range("matrix[multi, uni] row indexing", 474 | name, x_ref.rows(), row_idx.ns_[i]); 475 | return x_ref.coeff(row_idx.ns_[i] - 1, col_i); 476 | }); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::model::rvalue&>(Eigen::Matrix&, const char*, const index_multi&, index_uni)::; Args = {Eigen::Matrix&}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:467:0: required from ‘Eigen::Matrix::type, -1, 1> stan::model::rvalue(EigMat&&, const char*, const index_multi&, index_uni) [with EigMat = Eigen::Matrix&; stan::require_eigen_dense_dynamic_t* = 0; typename stan::value_type::type = double]’ 467 | return stan::math::make_holder( 468 | [name, &row_idx, col_idx](auto& x_ref) { 469 | return Eigen::Matrix, Eigen::Dynamic, 1>:: 470 | NullaryExpr(row_idx.ns_.size(), 471 | [name, &row_idx, col_i = col_idx.n_ - 1, 472 | &x_ref](Eigen::Index i) { 473 | math::check_range("matrix[multi, uni] row indexing", 474 | name, x_ref.rows(), row_idx.ns_[i]); 475 | return x_ref.coeff(row_idx.ns_[i] - 1, col_i); 476 | }); 477 | }, 478 | stan::math::to_ref(x)); stanExports_stanmarg.h:3194:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3194 | stan::model::rvalue(B_tilde, "B_tilde", 3195 | stan::model::index_multi(bidx), stan::model::index_uni(1))), stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose >; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Transpose > > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Transpose > > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Transpose > > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Transpose > > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Transpose > > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose >; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_ldlt_factor.hpp:32:45: required from ‘void stan::math::check_ldlt_factor(const char*, const char*, LDLT_factor&) [with T = Eigen::Matrix]’ 32 | auto too_small = A.ldlt().vectorD().tail(1)(0); | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:73:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = double]’ 73 | check_ldlt_factor(function, "LDLT_Factor of random variable", ldlt_W); stanExports_stanmarg.h:18158:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18158 | stan::math::wishart_lpdf( 18159 | stan::math::multiply( 18160 | (stan::model::rvalue(N, "N", stan::model::index_uni(mm)) - 18161 | 1), 18162 | stan::model::rvalue(Sstar, "Sstar", 18163 | stan::model::index_uni(mm))), 18164 | (stan::model::rvalue(N, "N", stan::model::index_uni(mm)) - 18165 | 1), 18166 | stan::model::rvalue(Sigma, "Sigma", 18167 | stan::model::index_uni(mm))), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log.hpp:66:50: required from ‘stan::math::log, 0> > >(const Eigen::ArrayWrapper, 0> >&):: [with auto:169 = Eigen::ArrayWrapper, 0> >]’ 66 | x, [](const auto& v) { return v.array().log(); }); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant_ldlt.hpp:22:17: required from ‘stan::value_type_t stan::math::log_determinant_ldlt(LDLT_factor&) [with T = Eigen::Matrix; stan::require_not_rev_matrix_t* = 0; stan::value_type_t = double]’ 22 | return sum(log(A.ldlt().vectorD().array())); | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:88:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = double]’ 88 | lp -= 0.5 * nu_ref * log_determinant_ldlt(ldlt_S); stanExports_stanmarg.h:18158:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18158 | stan::math::wishart_lpdf( 18159 | stan::math::multiply( 18160 | (stan::model::rvalue(N, "N", stan::model::index_uni(mm)) - 18161 | 1), 18162 | stan::model::rvalue(Sstar, "Sstar", 18163 | stan::model::index_uni(mm))), 18164 | (stan::model::rvalue(N, "N", stan::model::index_uni(mm)) - 18165 | 1), 18166 | stan::model::rvalue(Sigma, "Sigma", 18167 | stan::model::index_uni(mm))), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:24: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18414:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18414 | -stan::math::multi_normal_lpdf( 18415 | stan::model::rvalue(YXstar, "YXstar", 18416 | stan::model::index_uni(jj), 18417 | stan::model::index_multi( 18418 | stan::model::rvalue(xdatidx, "xdatidx", 18419 | stan::model::index_min_max(1, 18420 | stan::model::rvalue(Nx, "Nx", 18421 | stan::model::index_uni(mm)))))), 18422 | stan::model::rvalue(Mu, "Mu", 18423 | stan::model::index_uni(grpidx), 18424 | stan::model::index_multi( 18425 | stan::model::rvalue(xidx, "xidx", 18426 | stan::model::index_min_max(1, 18427 | stan::model::rvalue(Nx, "Nx", 18428 | stan::model::index_uni(mm)))))), 18429 | stan::model::rvalue(Sigma, "Sigma", 18430 | stan::model::index_uni(grpidx), 18431 | stan::model::index_multi( 18432 | stan::model::rvalue(xidx, "xidx", 18433 | stan::model::index_min_max(1, 18434 | stan::model::rvalue(Nx, "Nx", 18435 | stan::model::index_uni(mm))))), 18436 | stan::model::index_multi( 18437 | stan::model::rvalue(xidx, "xidx", 18438 | stan::model::index_min_max(1, 18439 | stan::model::rvalue(Nx, "Nx", 18440 | stan::model::index_uni(mm)))))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 363 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7: required from ‘Eigen::MapBase::ScalarWithConstIfNotLvalue& Eigen::MapBase::coeffRef(Eigen::Index) [with Derived = Eigen::Block, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]’ 15 | EIGEN_STATIC_ASSERT((int(internal::evaluator::Flags) & LinearAccessBit) || Derived::IsVectorAtCompileTime, \ | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:25: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 367 | matA.col(i).coeffRef(i+1) = 1; | ~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ 895 | q.applyOnTheRight(k,k+1,rot); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ 548 | internal::tridiagonal_qr_step(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 379 | ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:50: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 387 | ret = ret && (A21.array()==Scalar(0)).all(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:51:11: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 51 | factor_U(U, CPCs); | ~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19828:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19828 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:51:11: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 51 | factor_U(U, CPCs); | ~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19828:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19828 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:51:11: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 51 | factor_U(U, CPCs); | ~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19828:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19828 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, -1, 1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:51:11: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 51 | factor_U(U, CPCs); | ~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19828:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19828 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_U.hpp:44:37: required from ‘void stan::math::factor_U(const T_U&, T_CPCs&&) [with T_U = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >&; stan::require_eigen_t* = 0; stan::require_eigen_vector_t* = 0; stan::require_vt_same* = 0]’ 44 | acc.tail(pull) = 1.0 - temp.square(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:51:11: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 51 | factor_U(U, CPCs); | ~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19828:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19828 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:51:11: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 51 | factor_U(U, CPCs); | ~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19828:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19828 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_U.hpp:44:24: required from ‘void stan::math::factor_U(const T_U&, T_CPCs&&) [with T_U = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >&; stan::require_eigen_t* = 0; stan::require_eigen_vector_t* = 0; stan::require_vt_same* = 0]’ 44 | acc.tail(pull) = 1.0 - temp.square(); | ~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:51:11: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 51 | factor_U(U, CPCs); | ~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19828:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19828 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_U.hpp:49:33: required from ‘void stan::math::factor_U(const T_U&, T_CPCs&&) [with T_U = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >&; stan::require_eigen_t* = 0; stan::require_eigen_vector_t* = 0; stan::require_vt_same* = 0]’ 49 | temp /= sqrt(acc.tail(pull) / acc(i)); | ~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:51:11: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 51 | factor_U(U, CPCs); | ~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19828:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19828 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/sqrt.hpp:58:51: required from ‘stan::math::sqrt, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >(const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >&):: [with auto:218 = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >]’ 58 | x, [](const auto& v) { return v.array().sqrt(); }); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:51:11: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 51 | factor_U(U, CPCs); | ~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19828:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19828 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_U.hpp:53:22: required from ‘void stan::math::factor_U(const T_U&, T_CPCs&&) [with T_U = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >&; stan::require_eigen_t* = 0; stan::require_eigen_vector_t* = 0; stan::require_vt_same* = 0]’ 53 | CPCs = 0.5 * ((1.0 + CPCs) / (1.0 - CPCs)).log(); // now unbounded | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:51:11: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 51 | factor_U(U, CPCs); | ~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19828:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19828 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_U.hpp:53:37: required from ‘void stan::math::factor_U(const T_U&, T_CPCs&&) [with T_U = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >&; stan::require_eigen_t* = 0; stan::require_eigen_vector_t* = 0; stan::require_vt_same* = 0]’ 53 | CPCs = 0.5 * ((1.0 + CPCs) / (1.0 - CPCs)).log(); // now unbounded | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:51:11: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 51 | factor_U(U, CPCs); | ~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19828:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19828 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_U.hpp:53:30: required from ‘void stan::math::factor_U(const T_U&, T_CPCs&&) [with T_U = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >&; stan::require_eigen_t* = 0; stan::require_eigen_vector_t* = 0; stan::require_vt_same* = 0]’ 53 | CPCs = 0.5 * ((1.0 + CPCs) / (1.0 - CPCs)).log(); // now unbounded | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:51:11: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 51 | factor_U(U, CPCs); | ~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19828:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19828 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_U.hpp:53:49: required from ‘void stan::math::factor_U(const T_U&, T_CPCs&&) [with T_U = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >&; stan::require_eigen_t* = 0; stan::require_eigen_vector_t* = 0; stan::require_vt_same* = 0]’ 53 | CPCs = 0.5 * ((1.0 + CPCs) / (1.0 - CPCs)).log(); // now unbounded | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:51:11: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 51 | factor_U(U, CPCs); | ~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19828:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19828 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_U.hpp:53:14: required from ‘void stan::math::factor_U(const T_U&, T_CPCs&&) [with T_U = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >&; stan::require_eigen_t* = 0; stan::require_eigen_vector_t* = 0; stan::require_vt_same* = 0]’ 53 | CPCs = 0.5 * ((1.0 + CPCs) / (1.0 - CPCs)).log(); // now unbounded | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:51:11: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 51 | factor_U(U, CPCs); | ~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19828:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19828 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/subtract.hpp:45:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/transpose.hpp:18:21: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply.hpp:107:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/elt_multiply.hpp:28:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:14432:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14432 | lp_accum__.add(-multi_normal_suff( 14433 | stan::model::rvalue(YXbarstar, 14434 | "YXbarstar", 14435 | stan::model::index_uni(mm), 14436 | stan::model::index_multi( 14437 | stan::model::rvalue(xdatidx, 14438 | "xdatidx", 14439 | stan::model::index_min_max(1, 14440 | stan::model::rvalue(Nx, "Nx", 14441 | stan::model::index_uni(mm)))))), 14442 | stan::model::rvalue(Sstar, "Sstar", 14443 | stan::model::index_uni(mm), 14444 | stan::model::index_multi( 14445 | stan::model::rvalue(xdatidx, 14446 | "xdatidx", 14447 | stan::model::index_min_max(1, 14448 | stan::model::rvalue(Nx, "Nx", 14449 | stan::model::index_uni(mm))))), 14450 | stan::model::index_multi( 14451 | stan::model::rvalue(xdatidx, 14452 | "xdatidx", 14453 | stan::model::index_min_max(1, 14454 | stan::model::rvalue(Nx, "Nx", 14455 | stan::model::index_uni(mm)))))), 14456 | stan::model::rvalue(Mu, "Mu", 14457 | stan::model::index_uni(grpidx), 14458 | stan::model::index_multi( 14459 | stan::model::rvalue(xidx, "xidx", 14460 | stan::model::index_min_max(1, 14461 | stan::model::rvalue(Nx, "Nx", 14462 | stan::model::index_uni(mm)))))), 14463 | sig_inv_update( 14464 | stan::model::rvalue(Sigmainv, 14465 | "Sigmainv", 14466 | stan::model::index_uni(mm)), xidx, 14467 | stan::model::rvalue(Nx, "Nx", 14468 | stan::model::index_uni(mm)), (p + 14469 | q), 14470 | stan::model::rvalue(logdetSigma_grp, 14471 | "logdetSigma_grp", 14472 | stan::model::index_uni(grpidx)), 14473 | pstream__), ((r2 - r1) + 1), 14474 | pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/elt_multiply.hpp:28:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:14432:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14432 | lp_accum__.add(-multi_normal_suff( 14433 | stan::model::rvalue(YXbarstar, 14434 | "YXbarstar", 14435 | stan::model::index_uni(mm), 14436 | stan::model::index_multi( 14437 | stan::model::rvalue(xdatidx, 14438 | "xdatidx", 14439 | stan::model::index_min_max(1, 14440 | stan::model::rvalue(Nx, "Nx", 14441 | stan::model::index_uni(mm)))))), 14442 | stan::model::rvalue(Sstar, "Sstar", 14443 | stan::model::index_uni(mm), 14444 | stan::model::index_multi( 14445 | stan::model::rvalue(xdatidx, 14446 | "xdatidx", 14447 | stan::model::index_min_max(1, 14448 | stan::model::rvalue(Nx, "Nx", 14449 | stan::model::index_uni(mm))))), 14450 | stan::model::index_multi( 14451 | stan::model::rvalue(xdatidx, 14452 | "xdatidx", 14453 | stan::model::index_min_max(1, 14454 | stan::model::rvalue(Nx, "Nx", 14455 | stan::model::index_uni(mm)))))), 14456 | stan::model::rvalue(Mu, "Mu", 14457 | stan::model::index_uni(grpidx), 14458 | stan::model::index_multi( 14459 | stan::model::rvalue(xidx, "xidx", 14460 | stan::model::index_min_max(1, 14461 | stan::model::rvalue(Nx, "Nx", 14462 | stan::model::index_uni(mm)))))), 14463 | sig_inv_update( 14464 | stan::model::rvalue(Sigmainv, 14465 | "Sigmainv", 14466 | stan::model::index_uni(mm)), xidx, 14467 | stan::model::rvalue(Nx, "Nx", 14468 | stan::model::index_uni(mm)), (p + 14469 | q), 14470 | stan::model::rvalue(logdetSigma_grp, 14471 | "logdetSigma_grp", 14472 | stan::model::index_uni(grpidx)), 14473 | pstream__), ((r2 - r1) + 1), 14474 | pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:40: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]’ 77 | const auto& y_scaled = to_ref((y_val - mu_val) * inv_sigma); | ~~~~~~~^~~~~~~~~ stanExports_stanmarg.h:14522:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14522 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14523 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:50: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]’ 77 | const auto& y_scaled = to_ref((y_val - mu_val) * inv_sigma); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~ stanExports_stanmarg.h:14522:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14522 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14523 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:94:50: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]’ 94 | >= 2>(inv_sigma * y_scaled); | ~~~~~~~~~~^~~~~~~~~~ stanExports_stanmarg.h:14522:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14522 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14523 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:96:35: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]’ 96 | partials<0>(ops_partials) = -scaled_diff; | ^~~~~~~~~~~~ stanExports_stanmarg.h:14522:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14522 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14523 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:99:45: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]’ 99 | partials<2>(ops_partials) = inv_sigma * y_scaled_sq - inv_sigma; | ~~~~~~~~~~^~~~~~~~~~~~~ stanExports_stanmarg.h:14522:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14522 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14523 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:99:59: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]’ 99 | partials<2>(ops_partials) = inv_sigma * y_scaled_sq - inv_sigma; | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ stanExports_stanmarg.h:14522:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14522 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14523 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log.hpp:66:50: required from ‘stan::math::log > >(const Eigen::ArrayWrapper >&):: [with auto:169 = Eigen::ArrayWrapper >]’ 66 | x, [](const auto& v) { return v.array().log(); }); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:14604:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14604 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14605 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:109:26: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]’ 109 | logp -= sum(beta_val * y_val) * N / max_size(beta, y); | ~~~~~~~~~^~~~~~~ stanExports_stanmarg.h:14604:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14604 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14605 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:113:49: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]’ 113 | partials<0>(ops_partials) = (alpha_val - 1) / y_val - beta_val; | ~~~~~~~~~~~~~~~~^~~~~~~ stanExports_stanmarg.h:14604:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14604 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14605 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:113:57: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]’ 113 | partials<0>(ops_partials) = (alpha_val - 1) / y_val - beta_val; | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ stanExports_stanmarg.h:14604:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14604 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14605 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:116:54: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]’ 116 | partials<2>(ops_partials) = alpha_val / beta_val - y_val; | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ stanExports_stanmarg.h:14604:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14604 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14605 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:50: required from ‘stan::math::as_array_or_scalar, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >&>(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >&):: [with auto:13 = const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >]’ 57 | return make_holder([](auto& x) { return x.array(); }, std::forward(v)); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >&>(const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >&)::; Args = {const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >&}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:21: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:14610:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14610 | lp_accum__.add((stan::math::beta_lpdf( 14611 | stan::math::multiply(.5, 14612 | stan::math::add(1, Theta_r_free)), theta_r_alpha, 14613 | theta_r_beta) + (stan::math::log(.5) * stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 199 | * CubicInterp(_gk_1.dot(_pk_1), _alphak_1, _fk - _fk_1, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector, -1, -1>, std::allocator, -1, -1> > >; bool Jacobian = true; LP = stan::math::var_value; Sizes = {int}; stan::require_std_vector_t* = 0; T = stan::math::var_value; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:12894:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12892 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 12893 | std::vector>, 12894 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 12895 | Psi_r_mat_1_3dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = Eigen::Matrix, -1, -1>; stan::require_rev_matrix_t* = 0]’ 31 | arena_L.adj() += ((res.adj().transpose() + res.adj()) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_matrix.hpp:61:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector, -1, -1>, std::allocator, -1, -1> > >; bool Jacobian = true; LP = stan::math::var_value; Sizes = {int}; stan::require_std_vector_t* = 0; T = stan::math::var_value; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:12894:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12892 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 12893 | std::vector>, 12894 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 12895 | Psi_r_mat_1_3dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:32:0: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector, -1, -1>, std::allocator, -1, -1> > >; bool Jacobian = true; LP = stan::math::var_value; Sizes = {int}; stan::require_std_vector_t* = 0; T = stan::math::var_value; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:12894:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12892 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 12893 | std::vector>, 12894 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 12895 | Psi_r_mat_1_3dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 510 | return derived().diagonal().sum(); | ~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/trace.hpp:26:0: required from ‘auto stan::math::trace(const T&) [with T = Eigen::Matrix, -1, -1>; stan::require_rev_matrix_t* = 0]’ 26 | return make_callback_var(arena_m.val_op().trace(), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/trace_inv_quad_form_ldlt.hpp:41:0: required from ‘stan::math::var stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::CwiseBinaryOp, var_value >, const Eigen::Matrix, -1, 1>, const Eigen::Matrix, -1, 1> >; stan::require_all_matrix_t* = 0; stan::require_any_st_var* = 0; var = var_value]’ 41 | auto AsolveB = to_arena(A.ldlt().solve(arena_B.val())); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14332:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14332 | lp_accum__.add(stan::math::multi_normal_lpdf( 14333 | stan::model::rvalue(YXstar, "YXstar", 14334 | stan::model::index_min_max(r1, r2), 14335 | stan::model::index_min_max(1, 14336 | stan::model::rvalue(Nobs, "Nobs", 14337 | stan::model::index_uni(mm)))), 14338 | stan::model::rvalue(Mu, "Mu", 14339 | stan::model::index_uni(grpidx), 14340 | stan::model::index_multi( 14341 | stan::model::rvalue(obsidx, "obsidx", 14342 | stan::model::index_min_max(1, 14343 | stan::model::rvalue(Nobs, "Nobs", 14344 | stan::model::index_uni(mm)))))), 14345 | stan::model::rvalue(Sigma, "Sigma", 14346 | stan::model::index_uni(grpidx), 14347 | stan::model::index_multi( 14348 | stan::model::rvalue(obsidx, "obsidx", 14349 | stan::model::index_min_max(1, 14350 | stan::model::rvalue(Nobs, "Nobs", 14351 | stan::model::index_uni(mm))))), 14352 | stan::model::index_multi( 14353 | stan::model::rvalue(obsidx, "obsidx", 14354 | stan::model::index_min_max(1, 14355 | stan::model::rvalue(Nobs, "Nobs", 14356 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/trace_inv_quad_form_ldlt.hpp:43:0: required from ‘stan::math::var stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::CwiseBinaryOp, var_value >, const Eigen::Matrix, -1, 1>, const Eigen::Matrix, -1, 1> >; stan::require_all_matrix_t* = 0; stan::require_any_st_var* = 0; var = var_value]’ 43 | var res = (arena_B.val_op().transpose() * AsolveB).trace(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14332:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14332 | lp_accum__.add(stan::math::multi_normal_lpdf( 14333 | stan::model::rvalue(YXstar, "YXstar", 14334 | stan::model::index_min_max(r1, r2), 14335 | stan::model::index_min_max(1, 14336 | stan::model::rvalue(Nobs, "Nobs", 14337 | stan::model::index_uni(mm)))), 14338 | stan::model::rvalue(Mu, "Mu", 14339 | stan::model::index_uni(grpidx), 14340 | stan::model::index_multi( 14341 | stan::model::rvalue(obsidx, "obsidx", 14342 | stan::model::index_min_max(1, 14343 | stan::model::rvalue(Nobs, "Nobs", 14344 | stan::model::index_uni(mm)))))), 14345 | stan::model::rvalue(Sigma, "Sigma", 14346 | stan::model::index_uni(grpidx), 14347 | stan::model::index_multi( 14348 | stan::model::rvalue(obsidx, "obsidx", 14349 | stan::model::index_min_max(1, 14350 | stan::model::rvalue(Nobs, "Nobs", 14351 | stan::model::index_uni(mm))))), 14352 | stan::model::index_multi( 14353 | stan::model::rvalue(obsidx, "obsidx", 14354 | stan::model::index_min_max(1, 14355 | stan::model::rvalue(Nobs, "Nobs", 14356 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14332:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14332 | lp_accum__.add(stan::math::multi_normal_lpdf( 14333 | stan::model::rvalue(YXstar, "YXstar", 14334 | stan::model::index_min_max(r1, r2), 14335 | stan::model::index_min_max(1, 14336 | stan::model::rvalue(Nobs, "Nobs", 14337 | stan::model::index_uni(mm)))), 14338 | stan::model::rvalue(Mu, "Mu", 14339 | stan::model::index_uni(grpidx), 14340 | stan::model::index_multi( 14341 | stan::model::rvalue(obsidx, "obsidx", 14342 | stan::model::index_min_max(1, 14343 | stan::model::rvalue(Nobs, "Nobs", 14344 | stan::model::index_uni(mm)))))), 14345 | stan::model::rvalue(Sigma, "Sigma", 14346 | stan::model::index_uni(grpidx), 14347 | stan::model::index_multi( 14348 | stan::model::rvalue(obsidx, "obsidx", 14349 | stan::model::index_min_max(1, 14350 | stan::model::rvalue(Nobs, "Nobs", 14351 | stan::model::index_uni(mm))))), 14352 | stan::model::index_multi( 14353 | stan::model::rvalue(obsidx, "obsidx", 14354 | stan::model::index_min_max(1, 14355 | stan::model::rvalue(Nobs, "Nobs", 14356 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/trace_inv_quad_form_ldlt.hpp:46:0: required from ‘stan::math::var stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::CwiseBinaryOp, var_value >, const Eigen::Matrix, -1, 1>, const Eigen::Matrix, -1, 1> >; stan::require_all_matrix_t* = 0; stan::require_any_st_var* = 0; var = var_value]’ 46 | arena_A.adj() += -res.adj() * AsolveB * AsolveB.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14332:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14332 | lp_accum__.add(stan::math::multi_normal_lpdf( 14333 | stan::model::rvalue(YXstar, "YXstar", 14334 | stan::model::index_min_max(r1, r2), 14335 | stan::model::index_min_max(1, 14336 | stan::model::rvalue(Nobs, "Nobs", 14337 | stan::model::index_uni(mm)))), 14338 | stan::model::rvalue(Mu, "Mu", 14339 | stan::model::index_uni(grpidx), 14340 | stan::model::index_multi( 14341 | stan::model::rvalue(obsidx, "obsidx", 14342 | stan::model::index_min_max(1, 14343 | stan::model::rvalue(Nobs, "Nobs", 14344 | stan::model::index_uni(mm)))))), 14345 | stan::model::rvalue(Sigma, "Sigma", 14346 | stan::model::index_uni(grpidx), 14347 | stan::model::index_multi( 14348 | stan::model::rvalue(obsidx, "obsidx", 14349 | stan::model::index_min_max(1, 14350 | stan::model::rvalue(Nobs, "Nobs", 14351 | stan::model::index_uni(mm))))), 14352 | stan::model::index_multi( 14353 | stan::model::rvalue(obsidx, "obsidx", 14354 | stan::model::index_min_max(1, 14355 | stan::model::rvalue(Nobs, "Nobs", 14356 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14332:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14332 | lp_accum__.add(stan::math::multi_normal_lpdf( 14333 | stan::model::rvalue(YXstar, "YXstar", 14334 | stan::model::index_min_max(r1, r2), 14335 | stan::model::index_min_max(1, 14336 | stan::model::rvalue(Nobs, "Nobs", 14337 | stan::model::index_uni(mm)))), 14338 | stan::model::rvalue(Mu, "Mu", 14339 | stan::model::index_uni(grpidx), 14340 | stan::model::index_multi( 14341 | stan::model::rvalue(obsidx, "obsidx", 14342 | stan::model::index_min_max(1, 14343 | stan::model::rvalue(Nobs, "Nobs", 14344 | stan::model::index_uni(mm)))))), 14345 | stan::model::rvalue(Sigma, "Sigma", 14346 | stan::model::index_uni(grpidx), 14347 | stan::model::index_multi( 14348 | stan::model::rvalue(obsidx, "obsidx", 14349 | stan::model::index_min_max(1, 14350 | stan::model::rvalue(Nobs, "Nobs", 14351 | stan::model::index_uni(mm))))), 14352 | stan::model::index_multi( 14353 | stan::model::rvalue(obsidx, "obsidx", 14354 | stan::model::index_min_max(1, 14355 | stan::model::rvalue(Nobs, "Nobs", 14356 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/trace_inv_quad_form_ldlt.hpp:55:0: required from ‘stan::math::var stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::CwiseBinaryOp, var_value >, const Eigen::Matrix, -1, 1>, const Eigen::Matrix, -1, 1> >; stan::require_all_matrix_t* = 0; stan::require_any_st_var* = 0; var = var_value]’ 55 | auto AsolveB = to_arena(A.ldlt().solve(value_of(B_ref))); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14332:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14332 | lp_accum__.add(stan::math::multi_normal_lpdf( 14333 | stan::model::rvalue(YXstar, "YXstar", 14334 | stan::model::index_min_max(r1, r2), 14335 | stan::model::index_min_max(1, 14336 | stan::model::rvalue(Nobs, "Nobs", 14337 | stan::model::index_uni(mm)))), 14338 | stan::model::rvalue(Mu, "Mu", 14339 | stan::model::index_uni(grpidx), 14340 | stan::model::index_multi( 14341 | stan::model::rvalue(obsidx, "obsidx", 14342 | stan::model::index_min_max(1, 14343 | stan::model::rvalue(Nobs, "Nobs", 14344 | stan::model::index_uni(mm)))))), 14345 | stan::model::rvalue(Sigma, "Sigma", 14346 | stan::model::index_uni(grpidx), 14347 | stan::model::index_multi( 14348 | stan::model::rvalue(obsidx, "obsidx", 14349 | stan::model::index_min_max(1, 14350 | stan::model::rvalue(Nobs, "Nobs", 14351 | stan::model::index_uni(mm))))), 14352 | stan::model::index_multi( 14353 | stan::model::rvalue(obsidx, "obsidx", 14354 | stan::model::index_min_max(1, 14355 | stan::model::rvalue(Nobs, "Nobs", 14356 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/trace_inv_quad_form_ldlt.hpp:57:0: required from ‘stan::math::var stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::CwiseBinaryOp, var_value >, const Eigen::Matrix, -1, 1>, const Eigen::Matrix, -1, 1> >; stan::require_all_matrix_t* = 0; stan::require_any_st_var* = 0; var = var_value]’ 57 | var res = (value_of(B_ref).transpose() * AsolveB).trace(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14332:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14332 | lp_accum__.add(stan::math::multi_normal_lpdf( 14333 | stan::model::rvalue(YXstar, "YXstar", 14334 | stan::model::index_min_max(r1, r2), 14335 | stan::model::index_min_max(1, 14336 | stan::model::rvalue(Nobs, "Nobs", 14337 | stan::model::index_uni(mm)))), 14338 | stan::model::rvalue(Mu, "Mu", 14339 | stan::model::index_uni(grpidx), 14340 | stan::model::index_multi( 14341 | stan::model::rvalue(obsidx, "obsidx", 14342 | stan::model::index_min_max(1, 14343 | stan::model::rvalue(Nobs, "Nobs", 14344 | stan::model::index_uni(mm)))))), 14345 | stan::model::rvalue(Sigma, "Sigma", 14346 | stan::model::index_uni(grpidx), 14347 | stan::model::index_multi( 14348 | stan::model::rvalue(obsidx, "obsidx", 14349 | stan::model::index_min_max(1, 14350 | stan::model::rvalue(Nobs, "Nobs", 14351 | stan::model::index_uni(mm))))), 14352 | stan::model::index_multi( 14353 | stan::model::rvalue(obsidx, "obsidx", 14354 | stan::model::index_min_max(1, 14355 | stan::model::rvalue(Nobs, "Nobs", 14356 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14332:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14332 | lp_accum__.add(stan::math::multi_normal_lpdf( 14333 | stan::model::rvalue(YXstar, "YXstar", 14334 | stan::model::index_min_max(r1, r2), 14335 | stan::model::index_min_max(1, 14336 | stan::model::rvalue(Nobs, "Nobs", 14337 | stan::model::index_uni(mm)))), 14338 | stan::model::rvalue(Mu, "Mu", 14339 | stan::model::index_uni(grpidx), 14340 | stan::model::index_multi( 14341 | stan::model::rvalue(obsidx, "obsidx", 14342 | stan::model::index_min_max(1, 14343 | stan::model::rvalue(Nobs, "Nobs", 14344 | stan::model::index_uni(mm)))))), 14345 | stan::model::rvalue(Sigma, "Sigma", 14346 | stan::model::index_uni(grpidx), 14347 | stan::model::index_multi( 14348 | stan::model::rvalue(obsidx, "obsidx", 14349 | stan::model::index_min_max(1, 14350 | stan::model::rvalue(Nobs, "Nobs", 14351 | stan::model::index_uni(mm))))), 14352 | stan::model::index_multi( 14353 | stan::model::rvalue(obsidx, "obsidx", 14354 | stan::model::index_min_max(1, 14355 | stan::model::rvalue(Nobs, "Nobs", 14356 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, -1>&>(const Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/value_of_rec.hpp:110:27: required from ‘stan::math::value_of_rec, -1, -1>&>(const Eigen::Matrix, -1, -1>&):: [with auto:1 = const Eigen::Matrix, -1, -1>]’ 110 | return m.unaryExpr([](auto x) { return value_of_rec(x); }); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/lkj_corr_lpdf.hpp:55:20: required from ‘stan::return_type_t stan::math::lkj_corr_lpdf(const T_y&, const T_shape&) [with bool propto = false; T_y = Eigen::Matrix, -1, -1>; T_shape = int; stan::return_type_t = var_value]’ 55 | check_corr_matrix(function, "Correlation matrix", y_ref); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14630:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14630 | lp_accum__.add(stan::math::lkj_corr_lpdf( 14631 | stan::model::rvalue(Psi_r_mat_1, 14632 | "Psi_r_mat_1", 14633 | stan::model::index_uni(blkidx)), 14634 | stan::model::rvalue(blkse, "blkse", 14635 | stan::model::index_uni(k), 14636 | stan::model::index_uni(7)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/accumulator.hpp:135:0: required from ‘stan::math::var stan::math::accumulator::type>::value, void>::type>::sum() const [with T = stan::math::var_value; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = stan::math::var_value; stan::math::var = stan::math::var_value]’ 135 | inline var sum() const { return stan::math::sum(buf_); } stanExports_stanmarg.h:14857:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14857 | return lp_accum__.sum(); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:24: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::VectorBlock, -1>; T_loc = Eigen::VectorBlock, -1>; T_covar = Eigen::Block, -1, -1, false>; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:4839:0: required from ‘Eigen::Matrix::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type>::type, -1, 1> model_stanmarg_namespace::calc_log_lik_x(const std::vector >&, const T1__&, const T2__&, const T3__&, const T4__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = Eigen::Matrix; T2__ = Eigen::Matrix; T3__ = Eigen::Matrix; T4__ = Eigen::Matrix; stan::require_all_t, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4839 | stan::math::multi_normal_lpdf( 4840 | stan::model::rvalue(mean_d, "mean_d", stan::model::index_uni(cc), 4841 | stan::model::index_min_max(1, Nx_between)), 4842 | stan::model::rvalue(ov_mean_d, "ov_mean_d", 4843 | stan::model::index_min_max(1, Nx_between)), 4844 | stan::model::rvalue(cov_mean_d, "cov_mean_d", 4845 | stan::model::index_min_max(1, Nx_between), 4846 | stan::model::index_min_max(1, Nx_between)))), stanExports_stanmarg.h:17614:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17614 | calc_log_lik_x( 17615 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17616 | stan::model::index_min_max(r2, (clusidx - 1))), 17617 | stan::model::rvalue(mnvecs, "mnvecs", 17618 | stan::model::index_uni(2)), 17619 | stan::model::rvalue(covmats, "covmats", 17620 | stan::model::index_uni(1)), 17621 | stan::model::rvalue(covmats, "covmats", 17622 | stan::model::index_uni(2)), 17623 | stan::model::rvalue(covmats, "covmats", 17624 | stan::model::index_uni(3)), 17625 | stan::model::rvalue(nclus, "nclus", 17626 | stan::model::index_uni(gg)), 17627 | stan::model::rvalue(cluster_size, "cluster_size", 17628 | stan::model::index_min_max(r2, (clusidx - 1))), 17629 | stan::model::rvalue(Xvar, "Xvar", 17630 | stan::model::index_uni(gg)), 17631 | stan::model::rvalue(Xbetvar, "Xbetvar", 17632 | stan::model::index_uni(gg)), 17633 | stan::model::rvalue(Nx, "Nx", 17634 | stan::model::index_uni(gg)), 17635 | stan::model::rvalue(Nx_between, "Nx_between", 17636 | stan::model::index_uni(gg)), pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_left_ldlt.hpp:37:24: required from ‘Eigen::Matrix::type, -1, EigMat::ColsAtCompileTime> stan::math::mdivide_left_ldlt(LDLT_factor&, const EigMat&) [with T = Eigen::Matrix; EigMat = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; stan::require_eigen_t* = 0; stan::require_all_not_st_var* = 0; stan::require_any_not_t::type>, stan::is_fvar::type, void> >* = 0; typename stan::return_type::type = double]’ 37 | return A.ldlt().solve( | ~~~~~~~~~~~~~~^ 38 | Eigen::Matrix, EigMat::RowsAtCompileTime, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 39 | EigMat::ColsAtCompileTime>(b)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:42: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18414:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18414 | -stan::math::multi_normal_lpdf( 18415 | stan::model::rvalue(YXstar, "YXstar", 18416 | stan::model::index_uni(jj), 18417 | stan::model::index_multi( 18418 | stan::model::rvalue(xdatidx, "xdatidx", 18419 | stan::model::index_min_max(1, 18420 | stan::model::rvalue(Nx, "Nx", 18421 | stan::model::index_uni(mm)))))), 18422 | stan::model::rvalue(Mu, "Mu", 18423 | stan::model::index_uni(grpidx), 18424 | stan::model::index_multi( 18425 | stan::model::rvalue(xidx, "xidx", 18426 | stan::model::index_min_max(1, 18427 | stan::model::rvalue(Nx, "Nx", 18428 | stan::model::index_uni(mm)))))), 18429 | stan::model::rvalue(Sigma, "Sigma", 18430 | stan::model::index_uni(grpidx), 18431 | stan::model::index_multi( 18432 | stan::model::rvalue(xidx, "xidx", 18433 | stan::model::index_min_max(1, 18434 | stan::model::rvalue(Nx, "Nx", 18435 | stan::model::index_uni(mm))))), 18436 | stan::model::index_multi( 18437 | stan::model::rvalue(xidx, "xidx", 18438 | stan::model::index_min_max(1, 18439 | stan::model::rvalue(Nx, "Nx", 18440 | stan::model::index_uni(mm)))))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’ 116 | sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 33 | return result.setZero().template selfadjointView().rankUpdate( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 34 | M_ref); | ~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 453 | RealScalar scale = mat.cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 363 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 363 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 372 | hCoeffs.tail(n-i-1) += (conj(h)*RealScalar(-0.5)*(hCoeffs.tail(remainingSize).dot(matA.col(i).tail(remainingSize)))) * matA.col(i).tail(n-i-1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 374 | matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 375 | .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 374 | matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 375 | .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 374 | matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 375 | .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 374 | matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 375 | .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive, -1, 1> >(const char*, const char*, const Eigen::Matrix, -1, 1>&)::; T = Eigen::Matrix, -1, 1>; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20: required from ‘void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix, -1, 1>]’ 29 | elementwise_check([](double x) { return x > 0; }, function, name, y, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 30 | "positive"); | ~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/inverse_spd.hpp:42:17: required from ‘Eigen::Matrix::type, -1, -1> stan::math::inverse_spd(const EigMat&) [with EigMat = Eigen::Matrix, -1, -1>; typename stan::value_type::type = var_value]’ 42 | check_positive("inverse_spd", "matrix not positive definite", diag_ldlt); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14047:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14047 | stan::math::inverse_spd( 14048 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:634:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:88:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 88 | lp -= 0.5 * nu_ref * log_determinant_ldlt(ldlt_S); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite, -1, 1> >(const char*, const char*, const Eigen::Matrix, -1, 1>&)::; T = Eigen::Matrix, -1, 1>; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from ‘void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix, -1, 1>]’ 29 | elementwise_check([](double x) { return std::isfinite(x); }, function, name, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 30 | y, "finite"); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:71:17: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 71 | check_finite(function, "Location parameter", mu_vec[i]); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14332:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14332 | lp_accum__.add(stan::math::multi_normal_lpdf( 14333 | stan::model::rvalue(YXstar, "YXstar", 14334 | stan::model::index_min_max(r1, r2), 14335 | stan::model::index_min_max(1, 14336 | stan::model::rvalue(Nobs, "Nobs", 14337 | stan::model::index_uni(mm)))), 14338 | stan::model::rvalue(Mu, "Mu", 14339 | stan::model::index_uni(grpidx), 14340 | stan::model::index_multi( 14341 | stan::model::rvalue(obsidx, "obsidx", 14342 | stan::model::index_min_max(1, 14343 | stan::model::rvalue(Nobs, "Nobs", 14344 | stan::model::index_uni(mm)))))), 14345 | stan::model::rvalue(Sigma, "Sigma", 14346 | stan::model::index_uni(grpidx), 14347 | stan::model::index_multi( 14348 | stan::model::rvalue(obsidx, "obsidx", 14349 | stan::model::index_min_max(1, 14350 | stan::model::rvalue(Nobs, "Nobs", 14351 | stan::model::index_uni(mm))))), 14352 | stan::model::index_multi( 14353 | stan::model::rvalue(obsidx, "obsidx", 14354 | stan::model::index_min_max(1, 14355 | stan::model::rvalue(Nobs, "Nobs", 14356 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan, -1, 1> >(const char*, const char*, const Eigen::Matrix, -1, 1>&)::; T = Eigen::Matrix, -1, 1>; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from ‘void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix, -1, 1>]’ 28 | elementwise_check([](double x) { return !std::isnan(x); }, function, name, y, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | "not nan"); | ~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:72:18: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 72 | check_not_nan(function, "Random variable", y_vec[i]); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14332:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14332 | lp_accum__.add(stan::math::multi_normal_lpdf( 14333 | stan::model::rvalue(YXstar, "YXstar", 14334 | stan::model::index_min_max(r1, r2), 14335 | stan::model::index_min_max(1, 14336 | stan::model::rvalue(Nobs, "Nobs", 14337 | stan::model::index_uni(mm)))), 14338 | stan::model::rvalue(Mu, "Mu", 14339 | stan::model::index_uni(grpidx), 14340 | stan::model::index_multi( 14341 | stan::model::rvalue(obsidx, "obsidx", 14342 | stan::model::index_min_max(1, 14343 | stan::model::rvalue(Nobs, "Nobs", 14344 | stan::model::index_uni(mm)))))), 14345 | stan::model::rvalue(Sigma, "Sigma", 14346 | stan::model::index_uni(grpidx), 14347 | stan::model::index_multi( 14348 | stan::model::rvalue(obsidx, "obsidx", 14349 | stan::model::index_min_max(1, 14350 | stan::model::rvalue(Nobs, "Nobs", 14351 | stan::model::index_uni(mm))))), 14352 | stan::model::index_multi( 14353 | stan::model::rvalue(obsidx, "obsidx", 14354 | stan::model::index_min_max(1, 14355 | stan::model::rvalue(Nobs, "Nobs", 14356 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase, -1, 1> >::Index’ {aka ‘long int’} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; typename Eigen::internal::traits::Scalar = double]’ 510 | return derived().diagonal().sum(); | ~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/trace_inv_quad_form_ldlt.hpp:43:0: required from ‘stan::math::var stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::CwiseBinaryOp, var_value >, const Eigen::Matrix, -1, 1>, const Eigen::Matrix, -1, 1> >; stan::require_all_matrix_t* = 0; stan::require_any_st_var* = 0; var = var_value]’ 43 | var res = (arena_B.val_op().transpose() * AsolveB).trace(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14332:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14332 | lp_accum__.add(stan::math::multi_normal_lpdf( 14333 | stan::model::rvalue(YXstar, "YXstar", 14334 | stan::model::index_min_max(r1, r2), 14335 | stan::model::index_min_max(1, 14336 | stan::model::rvalue(Nobs, "Nobs", 14337 | stan::model::index_uni(mm)))), 14338 | stan::model::rvalue(Mu, "Mu", 14339 | stan::model::index_uni(grpidx), 14340 | stan::model::index_multi( 14341 | stan::model::rvalue(obsidx, "obsidx", 14342 | stan::model::index_min_max(1, 14343 | stan::model::rvalue(Nobs, "Nobs", 14344 | stan::model::index_uni(mm)))))), 14345 | stan::model::rvalue(Sigma, "Sigma", 14346 | stan::model::index_uni(grpidx), 14347 | stan::model::index_multi( 14348 | stan::model::rvalue(obsidx, "obsidx", 14349 | stan::model::index_min_max(1, 14350 | stan::model::rvalue(Nobs, "Nobs", 14351 | stan::model::index_uni(mm))))), 14352 | stan::model::index_multi( 14353 | stan::model::rvalue(obsidx, "obsidx", 14354 | stan::model::index_min_max(1, 14355 | stan::model::rvalue(Nobs, "Nobs", 14356 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; typename Eigen::internal::traits::Scalar = double]’ 510 | return derived().diagonal().sum(); | ~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/trace_inv_quad_form_ldlt.hpp:57:0: required from ‘stan::math::var stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::CwiseBinaryOp, var_value >, const Eigen::Matrix, -1, 1>, const Eigen::Matrix, -1, 1> >; stan::require_all_matrix_t* = 0; stan::require_any_st_var* = 0; var = var_value]’ 57 | var res = (value_of(B_ref).transpose() * AsolveB).trace(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14332:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14332 | lp_accum__.add(stan::math::multi_normal_lpdf( 14333 | stan::model::rvalue(YXstar, "YXstar", 14334 | stan::model::index_min_max(r1, r2), 14335 | stan::model::index_min_max(1, 14336 | stan::model::rvalue(Nobs, "Nobs", 14337 | stan::model::index_uni(mm)))), 14338 | stan::model::rvalue(Mu, "Mu", 14339 | stan::model::index_uni(grpidx), 14340 | stan::model::index_multi( 14341 | stan::model::rvalue(obsidx, "obsidx", 14342 | stan::model::index_min_max(1, 14343 | stan::model::rvalue(Nobs, "Nobs", 14344 | stan::model::index_uni(mm)))))), 14345 | stan::model::rvalue(Sigma, "Sigma", 14346 | stan::model::index_uni(grpidx), 14347 | stan::model::index_multi( 14348 | stan::model::rvalue(obsidx, "obsidx", 14349 | stan::model::index_min_max(1, 14350 | stan::model::rvalue(Nobs, "Nobs", 14351 | stan::model::index_uni(mm))))), 14352 | stan::model::index_multi( 14353 | stan::model::rvalue(obsidx, "obsidx", 14354 | stan::model::index_min_max(1, 14355 | stan::model::rvalue(Nobs, "Nobs", 14356 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan >(const char*, const char*, const Eigen::Array&)::; T = Eigen::Array; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from ‘void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Array]’ 28 | elementwise_check([](double x) { return !std::isnan(x); }, function, name, y, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | "not nan"); | ~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:62:16: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_loc = Eigen::Matrix, -1, 1>; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 62 | check_not_nan(function, "Random variable", y_val); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14522:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14522 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14523 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase >::Index’ {aka ‘long int’} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite >(const char*, const char*, const Eigen::Array&)::; T = Eigen::Array; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from ‘void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Array]’ 29 | elementwise_check([](double x) { return std::isfinite(x); }, function, name, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 30 | y, "finite"); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:63:15: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_loc = Eigen::Matrix, -1, 1>; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 63 | check_finite(function, "Location parameter", mu_val); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14522:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14522 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14523 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase >::Index’ {aka ‘long int’} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive, 0, Eigen::Stride<0, 0> > > >(const char*, const char*, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::; T = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_positive.hpp:29:20: required from ‘void stan::math::check_positive(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >]’ 29 | elementwise_check([](double x) { return x > 0; }, function, name, y, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 30 | "positive"); | ~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:64:17: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_loc = Eigen::Matrix, -1, 1>; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 64 | check_positive(function, "Scale parameter", sigma_val); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14522:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14522 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14523 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase, 0, Eigen::Stride<0, 0> > > >::Index’ {aka ‘long int’} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/functor/operands_and_partials.hpp:67:0: required from ‘void stan::math::internal::update_adjoints(Matrix1&, const Matrix2&, const stan::math::var&) [with Matrix1 = stan::math::arena_matrix, -1, 1> >; Matrix2 = stan::math::arena_matrix >; stan::require_rev_matrix_t* = 0; stan::require_st_arithmetic* = 0; stan::math::var = stan::math::var_value]’ 67 | x.adj().array() += z.adj() * y.array(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/functor/partials_propagator.hpp:91:0: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:105:28: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_loc = Eigen::Matrix, -1, 1>; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 105 | return ops_partials.build(logp); | ~~~~~~~~~~~~~~~~~~^~~~~~ stanExports_stanmarg.h:14522:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14522 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14523 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/functor/operands_and_partials.hpp:67:0: required from ‘void stan::math::internal::update_adjoints(Matrix1&, const Matrix2&, const stan::math::var&) [with Matrix1 = stan::math::arena_matrix, -1, 1> >; Matrix2 = stan::math::arena_matrix >; stan::require_rev_matrix_t* = 0; stan::require_st_arithmetic* = 0; stan::math::var = stan::math::var_value]’ 67 | x.adj().array() += z.adj() * y.array(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/functor/partials_propagator.hpp:91:0: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:105:28: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_loc = Eigen::Matrix, -1, 1>; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 105 | return ops_partials.build(logp); | ~~~~~~~~~~~~~~~~~~^~~~~~ stanExports_stanmarg.h:14522:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14522 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14523 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive_finite >(const char*, const char*, const Eigen::Array&)::; T = Eigen::Array; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_positive_finite.hpp:24:20: required from ‘void stan::math::check_positive_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Array]’ 24 | elementwise_check([](double x) { return x > 0 && std::isfinite(x); }, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 25 | function, name, y, "positive finite"); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:71:24: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 71 | check_positive_finite(function, "Random variable", y_val); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14604:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14604 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14605 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase >::Index’ {aka ‘long int’} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive_finite, 0, Eigen::Stride<0, 0> > > >(const char*, const char*, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >&)::; T = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_positive_finite.hpp:24:20: required from ‘void stan::math::check_positive_finite(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >]’ 24 | elementwise_check([](double x) { return x > 0 && std::isfinite(x); }, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 25 | function, name, y, "positive finite"); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:72:24: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 72 | check_positive_finite(function, "Shape parameter", alpha_val); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14604:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14604 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14605 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase, 0, Eigen::Stride<0, 0> > > >::Index’ {aka ‘long int’} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:91:77: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’ 91 | gemm_pack_rhs pack_rhs; | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Matrix; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 33 | return result.setZero().template selfadjointView().rankUpdate( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 34 | M_ref); | ~~~~~~ stanExports_stanmarg.h:17260:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17260 | stan::math::tcrossprod( 17261 | stan::math::to_matrix( 17262 | stan::math::subtract( 17263 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17264 | stan::model::index_uni(ii)), 17265 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17266 | stan::model::index_uni(clusidx)))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite, -1> >(const char*, const char*, const Eigen::VectorBlock, -1>&)::; T = Eigen::VectorBlock, -1>; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from ‘void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::VectorBlock, -1>]’ 29 | elementwise_check([](double x) { return std::isfinite(x); }, function, name, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 30 | y, "finite"); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:71:17: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::VectorBlock, -1>; T_loc = Eigen::VectorBlock, -1>; T_covar = Eigen::Block, -1, -1, false>; stan::return_type_t = double]’ 71 | check_finite(function, "Location parameter", mu_vec[i]); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:4839:0: required from ‘Eigen::Matrix::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type>::type, -1, 1> model_stanmarg_namespace::calc_log_lik_x(const std::vector >&, const T1__&, const T2__&, const T3__&, const T4__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = Eigen::Matrix; T2__ = Eigen::Matrix; T3__ = Eigen::Matrix; T4__ = Eigen::Matrix; stan::require_all_t, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4839 | stan::math::multi_normal_lpdf( 4840 | stan::model::rvalue(mean_d, "mean_d", stan::model::index_uni(cc), 4841 | stan::model::index_min_max(1, Nx_between)), 4842 | stan::model::rvalue(ov_mean_d, "ov_mean_d", 4843 | stan::model::index_min_max(1, Nx_between)), 4844 | stan::model::rvalue(cov_mean_d, "cov_mean_d", 4845 | stan::model::index_min_max(1, Nx_between), 4846 | stan::model::index_min_max(1, Nx_between)))), stanExports_stanmarg.h:17614:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17614 | calc_log_lik_x( 17615 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17616 | stan::model::index_min_max(r2, (clusidx - 1))), 17617 | stan::model::rvalue(mnvecs, "mnvecs", 17618 | stan::model::index_uni(2)), 17619 | stan::model::rvalue(covmats, "covmats", 17620 | stan::model::index_uni(1)), 17621 | stan::model::rvalue(covmats, "covmats", 17622 | stan::model::index_uni(2)), 17623 | stan::model::rvalue(covmats, "covmats", 17624 | stan::model::index_uni(3)), 17625 | stan::model::rvalue(nclus, "nclus", 17626 | stan::model::index_uni(gg)), 17627 | stan::model::rvalue(cluster_size, "cluster_size", 17628 | stan::model::index_min_max(r2, (clusidx - 1))), 17629 | stan::model::rvalue(Xvar, "Xvar", 17630 | stan::model::index_uni(gg)), 17631 | stan::model::rvalue(Xbetvar, "Xbetvar", 17632 | stan::model::index_uni(gg)), 17633 | stan::model::rvalue(Nx, "Nx", 17634 | stan::model::index_uni(gg)), 17635 | stan::model::rvalue(Nx_between, "Nx_between", 17636 | stan::model::index_uni(gg)), pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase, -1, 1, false> >::Index’ {aka ‘long int’} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan, -1> >(const char*, const char*, const Eigen::VectorBlock, -1>&)::; T = Eigen::VectorBlock, -1>; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from ‘void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::VectorBlock, -1>]’ 28 | elementwise_check([](double x) { return !std::isnan(x); }, function, name, y, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | "not nan"); | ~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:72:18: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::VectorBlock, -1>; T_loc = Eigen::VectorBlock, -1>; T_covar = Eigen::Block, -1, -1, false>; stan::return_type_t = double]’ 72 | check_not_nan(function, "Random variable", y_vec[i]); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:4839:0: required from ‘Eigen::Matrix::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type>::type, -1, 1> model_stanmarg_namespace::calc_log_lik_x(const std::vector >&, const T1__&, const T2__&, const T3__&, const T4__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = Eigen::Matrix; T2__ = Eigen::Matrix; T3__ = Eigen::Matrix; T4__ = Eigen::Matrix; stan::require_all_t, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4839 | stan::math::multi_normal_lpdf( 4840 | stan::model::rvalue(mean_d, "mean_d", stan::model::index_uni(cc), 4841 | stan::model::index_min_max(1, Nx_between)), 4842 | stan::model::rvalue(ov_mean_d, "ov_mean_d", 4843 | stan::model::index_min_max(1, Nx_between)), 4844 | stan::model::rvalue(cov_mean_d, "cov_mean_d", 4845 | stan::model::index_min_max(1, Nx_between), 4846 | stan::model::index_min_max(1, Nx_between)))), stanExports_stanmarg.h:17614:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17614 | calc_log_lik_x( 17615 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17616 | stan::model::index_min_max(r2, (clusidx - 1))), 17617 | stan::model::rvalue(mnvecs, "mnvecs", 17618 | stan::model::index_uni(2)), 17619 | stan::model::rvalue(covmats, "covmats", 17620 | stan::model::index_uni(1)), 17621 | stan::model::rvalue(covmats, "covmats", 17622 | stan::model::index_uni(2)), 17623 | stan::model::rvalue(covmats, "covmats", 17624 | stan::model::index_uni(3)), 17625 | stan::model::rvalue(nclus, "nclus", 17626 | stan::model::index_uni(gg)), 17627 | stan::model::rvalue(cluster_size, "cluster_size", 17628 | stan::model::index_min_max(r2, (clusidx - 1))), 17629 | stan::model::rvalue(Xvar, "Xvar", 17630 | stan::model::index_uni(gg)), 17631 | stan::model::rvalue(Xbetvar, "Xbetvar", 17632 | stan::model::index_uni(gg)), 17633 | stan::model::rvalue(Nx, "Nx", 17634 | stan::model::index_uni(gg)), 17635 | stan::model::rvalue(Nx_between, "Nx_between", 17636 | stan::model::index_uni(gg)), pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase, -1, 1, false> >::Index’ {aka ‘long int’} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, 0>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, 0>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 182 | return coeff(index); | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_ldlt_factor.hpp:32:48: required from ‘void stan::math::check_ldlt_factor(const char*, const char*, LDLT_factor&) [with T = Eigen::Matrix]’ 32 | auto too_small = A.ldlt().vectorD().tail(1)(0); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:73:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = double]’ 73 | check_ldlt_factor(function, "LDLT_Factor of random variable", ldlt_W); stanExports_stanmarg.h:18158:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18158 | stan::math::wishart_lpdf( 18159 | stan::math::multiply( 18160 | (stan::model::rvalue(N, "N", stan::model::index_uni(mm)) - 18161 | 1), 18162 | stan::model::rvalue(Sstar, "Sstar", 18163 | stan::model::index_uni(mm))), 18164 | (stan::model::rvalue(N, "N", stan::model::index_uni(mm)) - 18165 | 1), 18166 | stan::model::rvalue(Sigma, "Sigma", 18167 | stan::model::index_uni(mm))), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:268:34: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Scalar = double]’ 268 | res = func(res,eval.coeff(index)); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49: required from here 106 | return x.cwiseAbs().rowwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, true>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, true>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, true>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 1, -1, true>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 363 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:22:0: required from here 22 | vector_d eigenprojections = eigenvectors.transpose() * g; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:22:0: required from here 22 | vector_d eigenprojections = eigenvectors.transpose() * g; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:54: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 325 | mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:46: required from ‘stan::math::matrix_d stan::math::multiply_lower_tri_self_transpose(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_matrix_dynamic_t* = 0; stan::require_not_st_autodiff* = 0; matrix_d = Eigen::Matrix]’ 35 | LLt(m, m) = Lt.col(m).head(k).squaredNorm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_matrix.hpp:61:43: required from ‘Eigen::Matrix::type, -1, -1> stan::math::read_corr_matrix(const T_CPCs&, size_t, stan::value_type_t&) [with T_CPCs = Eigen::Matrix; stan::require_eigen_vector_t* = 0; typename stan::value_type::type = double; size_t = long unsigned int; stan::value_type_t = double]’ 61 | return multiply_lower_tri_self_transpose(read_corr_L(CPCs, K, log_prob)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_constrain.hpp:74:26: required from ‘Eigen::Matrix::type, -1, -1> stan::math::corr_matrix_constrain(const T&, Eigen::Index, stan::return_type_t&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t* = 0; typename stan::value_type::type = double; Eigen::Index = long int; stan::return_type_t = double]’ 74 | return read_corr_matrix(corr_constrain(x, lp), k, lp); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:945:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix; bool Jacobian = false; LP = double; stan::require_not_std_vector_t* = 0; stan::require_matrix_t* = 0; T = double; Eigen::Index = long int]’ 945 | return corr_matrix_constrain( 946 | this->read>((k * (k - 1)) / 2), 947 | k, lp); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t* = 0; T = double; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:14930:0: required from here 14928 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 14929 | std::vector>, 14930 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 14931 | Psi_r_mat_1_3dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Functor = mul_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Functor = Eigen::internal::mul_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Func = mul_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:207:18: required from ‘Derived& Eigen::ArrayBase::operator*=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Derived = Eigen::Block, -1, 1, false>]’ 207 | call_assignment(derived(), other.derived(), internal::mul_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_L.hpp:69:20: required from ‘Eigen::Matrix::type, -1, -1> stan::math::read_corr_L(const T&, size_t) [with T = Eigen::Matrix; stan::require_eigen_vector_t* = 0; typename stan::value_type::type = double; size_t = long unsigned int]’ 69 | acc.tail(pull) *= T_scalar(1.0) - temp.square(); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_matrix.hpp:32:55: required from ‘Eigen::Matrix::type, -1, -1> stan::math::read_corr_matrix(const T_CPCs&, size_t) [with T_CPCs = Eigen::Matrix; stan::require_eigen_vector_t* = 0; typename stan::value_type::type = double; size_t = long unsigned int]’ 32 | return multiply_lower_tri_self_transpose(read_corr_L(CPCs, K)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_constrain.hpp:45:26: required from ‘Eigen::Matrix::type, -1, -1> stan::math::corr_matrix_constrain(const T&, Eigen::Index) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t* = 0; typename stan::value_type::type = double; Eigen::Index = long int]’ 45 | return read_corr_matrix(corr_constrain(x), k); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:949:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix; bool Jacobian = false; LP = double; stan::require_not_std_vector_t* = 0; stan::require_matrix_t* = 0; T = double; Eigen::Index = long int]’ 949 | return corr_matrix_constrain( 950 | this->read>((k * (k - 1)) / 2), 951 | k); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t* = 0; T = double; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:14930:0: required from here 14928 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 14929 | std::vector>, 14930 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 14931 | Psi_r_mat_1_3dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block > >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block > >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block > >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block > >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block > >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block > >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:17927:0: required from here 17927 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:17927:0: required from here 17927 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval > >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl >, const Eigen::Block > >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose > >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:17927:0: required from here 17927 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Transpose > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, Eigen::Transpose > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, Eigen::Transpose > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Transpose > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, true>, Eigen::Transpose > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, true>, Eigen::Transpose > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:17927:0: required from here 17927 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:17927:0: required from here 17927 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Transpose > >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose > >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:17927:0: required from here 17927 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan > >(const char*, const char*, const Eigen::ArrayWrapper >&)::; T = Eigen::ArrayWrapper >; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from ‘void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper >]’ 28 | elementwise_check([](double x) { return !std::isnan(x); }, function, name, y, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | "not nan"); | ~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:62:16: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]’ 62 | check_not_nan(function, "Random variable", y_val); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14522:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14522 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14523 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase > >::Index’ {aka ‘long int’} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_finite > >(const char*, const char*, const Eigen::ArrayWrapper >&)::; T = Eigen::ArrayWrapper >; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20: required from ‘void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper >]’ 29 | elementwise_check([](double x) { return std::isfinite(x); }, function, name, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 30 | y, "finite"); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:63:15: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]’ 63 | check_finite(function, "Location parameter", mu_val); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14522:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14522 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14523 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase > >::Index’ {aka ‘long int’} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_positive_finite > >(const char*, const char*, const Eigen::ArrayWrapper >&)::; T = Eigen::ArrayWrapper >; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_positive_finite.hpp:24:20: required from ‘void stan::math::check_positive_finite(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper >]’ 24 | elementwise_check([](double x) { return x > 0 && std::isfinite(x); }, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 25 | function, name, y, "positive finite"); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:71:24: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]’ 71 | check_positive_finite(function, "Random variable", y_val); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14604:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14604 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14605 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::EigenBase > >::Index’ {aka ‘long int’} [-Wsign-compare] 153 | for (size_t i = 0; i < x.size(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:25:0: required from ‘void stan::math::internal::quad_form_vari_alloc::compute(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var_value; int Ra = -1; int Ca = -1; Tb = stan::math::var_value; int Rb = -1; int Cb = -1]’ 25 | matrix_d M = 0.5 * (Cd + Cd.transpose()); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:40:0: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/quad_form_sym.hpp:37:0: required from ‘auto stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix, -1, -1>; EigMat2 = Eigen::Matrix, -1, -1>; stan::require_all_eigen_t* = 0; stan::require_any_vt_var* = 0]’ 37 | return quad_form(A_ref, B, true); stanExports_stanmarg.h:13487:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13487 | stan::math::quad_form_sym( 13488 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 13489 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of ‘void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_not_nan, -1, -1> >(const char*, const char*, const Eigen::Matrix, -1, -1>&)::; T = Eigen::Matrix, -1, -1>; Indexings = {}; stan::require_eigen_t* = 0; std::enable_if_t<((bool)(((!(Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit)) && (! T::IsVectorAtCompileTime)) && (!(Eigen::internal::traits<_Rhs>::Flags & Eigen::RowMajorBit))))>* = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:28:20: required from ‘void stan::math::check_not_nan(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix, -1, -1>]’ 28 | elementwise_check([](double x) { return !std::isnan(x); }, function, name, y, | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 29 | "not nan"); | ~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:161:0: required from ‘Eigen::Matrix, EigMat1::RowsAtCompileTime, EigMat2::ColsAtCompileTime> stan::math::mdivide_left_spd(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix, -1, -1>; EigMat2 = Eigen::Matrix, -1, -1>; stan::require_all_eigen_matrix_base_vt* = 0]’ 161 | check_not_nan(function, "A", A_ref); stanExports_stanmarg.h:4435:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:207:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::Index’ {aka ‘long int’} [-Wsign-compare] 207 | for (size_t i = 0; i < x.rows(); i++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:208:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘Eigen::Index’ {aka ‘long int’} [-Wsign-compare] 208 | for (size_t j = 0; j < x.cols(); j++) { | ~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:30: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 533 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 533 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16224:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16224 | stan::math::log_determinant( 16225 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:478:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = double]’ 478 | return Scalar(derived().redux(Eigen::internal::scalar_sum_op())) / Scalar(this->size()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mean.hpp:25:73: required from ‘stan::math::mean >(const std::vector&):: [with auto:229 = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 25 | [](const auto& a) { return a.mean(); }); | ~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13: required from ‘static auto stan::math::apply_vector_unary::type>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::mean >(const std::vector&)::; T = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 93 | return f(x); | ~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:158:45: required from ‘static auto stan::math::apply_vector_unary::type, void>, stan::is_stan_scalar::type> >::value>::value, void>::type>::reduce(const T&, const F&) [with F = stan::math::mean >(const std::vector&)::; T = std::vector]’ 158 | return apply_vector_unary::reduce(as_column_vector_or_scalar(x), f); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mean.hpp:24:39: required from ‘stan::return_type_t stan::math::mean(const T&) [with T = std::vector; stan::require_container_t* = 0; stan::return_type_t = double]’ 24 | return apply_vector_unary::reduce(m, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ 25 | [](const auto& a) { return a.mean(); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:17179:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17179 | stan::math::mean( 17180 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17181 | stan::model::index_min_max(r1, ((r1 + 17182 | stan::model::rvalue(cluster_size, "cluster_size", 17183 | stan::model::index_uni(clusidx))) - 1)), 17184 | stan::model::index_uni(jj))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’ 106 | pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:33:78: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Matrix; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 33 | return result.setZero().template selfadjointView().rankUpdate( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 34 | M_ref); | ~~~~~~ stanExports_stanmarg.h:17260:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17260 | stan::math::tcrossprod( 17261 | stan::math::to_matrix( 17262 | stan::math::subtract( 17263 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17264 | stan::model::index_uni(ii)), 17265 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17266 | stan::model::index_uni(clusidx)))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4486:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T3__ = Eigen::Block, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4486 | ((stan::math::sum( 4487 | stan::math::elt_multiply( 4488 | stan::model::rvalue(Supdate, "Supdate", 4489 | stan::model::index_min_max(1, Nobs), 4490 | stan::model::index_min_max(1, Nobs)), 4491 | stan::math::add(S, 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:4815:0: required from ‘Eigen::Matrix::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type>::type, -1, 1> model_stanmarg_namespace::calc_log_lik_x(const std::vector >&, const T1__&, const T2__&, const T3__&, const T4__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = Eigen::Matrix; T2__ = Eigen::Matrix; T3__ = Eigen::Matrix; T4__ = Eigen::Matrix; stan::require_all_t, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4815 | multi_normal_suff( 4816 | stan::model::rvalue(mean_d, "mean_d", stan::model::index_uni(cc), 4817 | stan::model::index_multi( 4818 | stan::model::rvalue(Xvar, "Xvar", 4819 | stan::model::index_min_max(1, Nx)))), 4820 | stan::model::rvalue(cov_w, "cov_w", 4821 | stan::model::index_min_max(1, Nx), 4822 | stan::model::index_min_max(1, Nx)), 4823 | stan::model::rvalue(mean_d, "mean_d", stan::model::index_uni(cc), 4824 | stan::model::index_multi( 4825 | stan::model::rvalue(Xvar, "Xvar", 4826 | stan::model::index_min_max(1, Nx)))), 4827 | stan::model::rvalue(cov_w_inv, "cov_w_inv", 4828 | stan::model::index_min_max(1, (Nx + 1)), 4829 | stan::model::index_min_max(1, (Nx + 1))), 4830 | stan::model::rvalue(cluster_size, "cluster_size", 4831 | stan::model::index_uni(cc)), pstream__)), stanExports_stanmarg.h:17614:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17614 | calc_log_lik_x( 17615 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17616 | stan::model::index_min_max(r2, (clusidx - 1))), 17617 | stan::model::rvalue(mnvecs, "mnvecs", 17618 | stan::model::index_uni(2)), 17619 | stan::model::rvalue(covmats, "covmats", 17620 | stan::model::index_uni(1)), 17621 | stan::model::rvalue(covmats, "covmats", 17622 | stan::model::index_uni(2)), 17623 | stan::model::rvalue(covmats, "covmats", 17624 | stan::model::index_uni(3)), 17625 | stan::model::rvalue(nclus, "nclus", 17626 | stan::model::index_uni(gg)), 17627 | stan::model::rvalue(cluster_size, "cluster_size", 17628 | stan::model::index_min_max(r2, (clusidx - 1))), 17629 | stan::model::rvalue(Xvar, "Xvar", 17630 | stan::model::index_uni(gg)), 17631 | stan::model::rvalue(Xbetvar, "Xbetvar", 17632 | stan::model::index_uni(gg)), 17633 | stan::model::rvalue(Nx, "Nx", 17634 | stan::model::index_uni(gg)), 17635 | stan::model::rvalue(Nx_between, "Nx_between", 17636 | stan::model::index_uni(gg)), pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::Block, 1, -1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 1, -1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:72:0: required from ‘int stan::services::standalone_generate(const Model&, const Eigen::MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; Eigen::MatrixXd = Eigen::Matrix]’ 72 | Eigen::Map(&row[0], draws.cols()) = draws.row(i); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1253:0: required from ‘SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1253 | ret = stan::services::standalone_generate(model_, draws, 1254 | Rcpp::as(seed), interrupt, logger, *sample_writer_ptr); stanExports_stanmarg.cc:30:0: required from here 30 | .method("standalone_gqs", &rstan::stan_fit ::standalone_gqs) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here 28 | m2_ += (q - m_) * delta.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Func = generic_product_impl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 5>::set]’ 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:317:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39: required from here 28 | m2_ += (q - m_) * delta.transpose(); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, true>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:333: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 306 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:22:0: required from here 22 | vector_d eigenprojections = eigenvectors.transpose() * g; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 310 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:22:0: required from here 22 | vector_d eigenprojections = eigenvectors.transpose() * g; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 314 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:22:0: required from here 22 | vector_d eigenprojections = eigenvectors.transpose() * g; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:22:0: required from here 22 | vector_d eigenprojections = eigenvectors.transpose() * g; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:37:52: required from ‘stan::math::matrix_d stan::math::multiply_lower_tri_self_transpose(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_matrix_dynamic_t* = 0; stan::require_not_st_autodiff* = 0; matrix_d = Eigen::Matrix]’ 37 | LLt(n, m) = LLt(m, n) = Lt.col(m).head(k).dot(Lt.col(n).head(k)); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_matrix.hpp:61:43: required from ‘Eigen::Matrix::type, -1, -1> stan::math::read_corr_matrix(const T_CPCs&, size_t, stan::value_type_t&) [with T_CPCs = Eigen::Matrix; stan::require_eigen_vector_t* = 0; typename stan::value_type::type = double; size_t = long unsigned int; stan::value_type_t = double]’ 61 | return multiply_lower_tri_self_transpose(read_corr_L(CPCs, K, log_prob)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_constrain.hpp:74:26: required from ‘Eigen::Matrix::type, -1, -1> stan::math::corr_matrix_constrain(const T&, Eigen::Index, stan::return_type_t&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t* = 0; typename stan::value_type::type = double; Eigen::Index = long int; stan::return_type_t = double]’ 74 | return read_corr_matrix(corr_constrain(x, lp), k, lp); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:945:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix; bool Jacobian = false; LP = double; stan::require_not_std_vector_t* = 0; stan::require_matrix_t* = 0; T = double; Eigen::Index = long int]’ 945 | return corr_matrix_constrain( 946 | this->read>((k * (k - 1)) / 2), 947 | k, lp); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t* = 0; T = double; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:14930:0: required from here 14928 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 14929 | std::vector>, 14930 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 14931 | Psi_r_mat_1_3dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:17927:0: required from here 17927 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:17927:0: required from here 17927 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:17927:0: required from here 17927 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:51:11: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 51 | factor_U(U, CPCs); | ~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19828:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19828 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:51:11: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 51 | factor_U(U, CPCs); | ~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19828:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19828 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> > > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14332:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14332 | lp_accum__.add(stan::math::multi_normal_lpdf( 14333 | stan::model::rvalue(YXstar, "YXstar", 14334 | stan::model::index_min_max(r1, r2), 14335 | stan::model::index_min_max(1, 14336 | stan::model::rvalue(Nobs, "Nobs", 14337 | stan::model::index_uni(mm)))), 14338 | stan::model::rvalue(Mu, "Mu", 14339 | stan::model::index_uni(grpidx), 14340 | stan::model::index_multi( 14341 | stan::model::rvalue(obsidx, "obsidx", 14342 | stan::model::index_min_max(1, 14343 | stan::model::rvalue(Nobs, "Nobs", 14344 | stan::model::index_uni(mm)))))), 14345 | stan::model::rvalue(Sigma, "Sigma", 14346 | stan::model::index_uni(grpidx), 14347 | stan::model::index_multi( 14348 | stan::model::rvalue(obsidx, "obsidx", 14349 | stan::model::index_min_max(1, 14350 | stan::model::rvalue(Nobs, "Nobs", 14351 | stan::model::index_uni(mm))))), 14352 | stan::model::index_multi( 14353 | stan::model::rvalue(obsidx, "obsidx", 14354 | stan::model::index_min_max(1, 14355 | stan::model::rvalue(Nobs, "Nobs", 14356 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from ‘struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0> >’ 1626 | typedef typename XprType::Scalar Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from ‘struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0> >’ 65 | struct evaluator, DiagIndex> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14332:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14332 | lp_accum__.add(stan::math::multi_normal_lpdf( 14333 | stan::model::rvalue(YXstar, "YXstar", 14334 | stan::model::index_min_max(r1, r2), 14335 | stan::model::index_min_max(1, 14336 | stan::model::rvalue(Nobs, "Nobs", 14337 | stan::model::index_uni(mm)))), 14338 | stan::model::rvalue(Mu, "Mu", 14339 | stan::model::index_uni(grpidx), 14340 | stan::model::index_multi( 14341 | stan::model::rvalue(obsidx, "obsidx", 14342 | stan::model::index_min_max(1, 14343 | stan::model::rvalue(Nobs, "Nobs", 14344 | stan::model::index_uni(mm)))))), 14345 | stan::model::rvalue(Sigma, "Sigma", 14346 | stan::model::index_uni(grpidx), 14347 | stan::model::index_multi( 14348 | stan::model::rvalue(obsidx, "obsidx", 14349 | stan::model::index_min_max(1, 14350 | stan::model::rvalue(Nobs, "Nobs", 14351 | stan::model::index_uni(mm))))), 14352 | stan::model::index_multi( 14353 | stan::model::rvalue(obsidx, "obsidx", 14354 | stan::model::index_min_max(1, 14355 | stan::model::rvalue(Nobs, "Nobs", 14356 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14332:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14332 | lp_accum__.add(stan::math::multi_normal_lpdf( 14333 | stan::model::rvalue(YXstar, "YXstar", 14334 | stan::model::index_min_max(r1, r2), 14335 | stan::model::index_min_max(1, 14336 | stan::model::rvalue(Nobs, "Nobs", 14337 | stan::model::index_uni(mm)))), 14338 | stan::model::rvalue(Mu, "Mu", 14339 | stan::model::index_uni(grpidx), 14340 | stan::model::index_multi( 14341 | stan::model::rvalue(obsidx, "obsidx", 14342 | stan::model::index_min_max(1, 14343 | stan::model::rvalue(Nobs, "Nobs", 14344 | stan::model::index_uni(mm)))))), 14345 | stan::model::rvalue(Sigma, "Sigma", 14346 | stan::model::index_uni(grpidx), 14347 | stan::model::index_multi( 14348 | stan::model::rvalue(obsidx, "obsidx", 14349 | stan::model::index_min_max(1, 14350 | stan::model::rvalue(Nobs, "Nobs", 14351 | stan::model::index_uni(mm))))), 14352 | stan::model::index_multi( 14353 | stan::model::rvalue(obsidx, "obsidx", 14354 | stan::model::index_min_max(1, 14355 | stan::model::rvalue(Nobs, "Nobs", 14356 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from ‘struct Eigen::internal::evaluator, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0> >’ 1626 | typedef typename XprType::Scalar Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from ‘struct Eigen::internal::evaluator, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0> >’ 65 | struct evaluator, DiagIndex> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14332:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14332 | lp_accum__.add(stan::math::multi_normal_lpdf( 14333 | stan::model::rvalue(YXstar, "YXstar", 14334 | stan::model::index_min_max(r1, r2), 14335 | stan::model::index_min_max(1, 14336 | stan::model::rvalue(Nobs, "Nobs", 14337 | stan::model::index_uni(mm)))), 14338 | stan::model::rvalue(Mu, "Mu", 14339 | stan::model::index_uni(grpidx), 14340 | stan::model::index_multi( 14341 | stan::model::rvalue(obsidx, "obsidx", 14342 | stan::model::index_min_max(1, 14343 | stan::model::rvalue(Nobs, "Nobs", 14344 | stan::model::index_uni(mm)))))), 14345 | stan::model::rvalue(Sigma, "Sigma", 14346 | stan::model::index_uni(grpidx), 14347 | stan::model::index_multi( 14348 | stan::model::rvalue(obsidx, "obsidx", 14349 | stan::model::index_min_max(1, 14350 | stan::model::rvalue(Nobs, "Nobs", 14351 | stan::model::index_uni(mm))))), 14352 | stan::model::index_multi( 14353 | stan::model::rvalue(obsidx, "obsidx", 14354 | stan::model::index_min_max(1, 14355 | stan::model::rvalue(Nobs, "Nobs", 14356 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16224:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16224 | stan::math::log_determinant( 16225 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16224:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16224 | stan::math::log_determinant( 16225 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16224:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16224 | stan::math::log_determinant( 16225 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16224:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16224 | stan::math::log_determinant( 16225 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 131 | this->row(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16224:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16224 | stan::math::log_determinant( 16225 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16224:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16224 | stan::math::log_determinant( 16225 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>, -1, 1, false>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true>, -1, 1, false> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15: required from ‘stan::value_type_t stan::math::sum(const T&) [with T = Eigen::VectorBlock, -1, 1, true>, -1>; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 47 | return m.sum(); | ~~~~~^~ stanExports_stanmarg.h:4327:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4327 | stan::math::sum( 4328 | stan::model::rvalue(YXfull, "YXfull", 4329 | stan::model::index_min_max(r1, r2), stan::model::index_uni(i)))), stanExports_stanmarg.h:17751:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17751 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17752 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15: required from ‘stan::value_type_t stan::math::sum(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 47 | return m.sum(); | ~~~~~^~ stanExports_stanmarg.h:3409:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3409 | q_zz = stan::math::sum(stan::math::elt_multiply(Vinv_11, Y2Yc_zz)); stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:53: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18414:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18414 | -stan::math::multi_normal_lpdf( 18415 | stan::model::rvalue(YXstar, "YXstar", 18416 | stan::model::index_uni(jj), 18417 | stan::model::index_multi( 18418 | stan::model::rvalue(xdatidx, "xdatidx", 18419 | stan::model::index_min_max(1, 18420 | stan::model::rvalue(Nx, "Nx", 18421 | stan::model::index_uni(mm)))))), 18422 | stan::model::rvalue(Mu, "Mu", 18423 | stan::model::index_uni(grpidx), 18424 | stan::model::index_multi( 18425 | stan::model::rvalue(xidx, "xidx", 18426 | stan::model::index_min_max(1, 18427 | stan::model::rvalue(Nx, "Nx", 18428 | stan::model::index_uni(mm)))))), 18429 | stan::model::rvalue(Sigma, "Sigma", 18430 | stan::model::index_uni(grpidx), 18431 | stan::model::index_multi( 18432 | stan::model::rvalue(xidx, "xidx", 18433 | stan::model::index_min_max(1, 18434 | stan::model::rvalue(Nx, "Nx", 18435 | stan::model::index_uni(mm))))), 18436 | stan::model::index_multi( 18437 | stan::model::rvalue(xidx, "xidx", 18438 | stan::model::index_min_max(1, 18439 | stan::model::rvalue(Nx, "Nx", 18440 | stan::model::index_uni(mm)))))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:159:10: required from ‘Eigen::CommaInitializer Eigen::DenseBase::operator<<(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix]’ 159 | return CommaInitializer(*static_cast(this), other); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:10: required from ‘Eigen::Matrix::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t >* = 0; stan::require_stan_scalar_t* = 0; typename stan::return_type::type = double]’ 102 | result << A.template cast(), B; | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31: required from ‘T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector; Tb = std::vector; Tz = double; T_return = double; ArrayAT = Eigen::Array; ArrayBT = Eigen::Array; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 29 | ArrayBT b_array = append_row(as_array_or_scalar(b), 1.0); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47: required from ‘auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector; Tb = std::vector; Tz = double; stan::require_all_vector_t* = 0; stan::require_stan_scalar_t* = 0]’ 123 | return internal::hypergeometric_3F2_infsum(a, b, z); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28: required from ‘auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t* = 0]’ 148 | return hypergeometric_3F2(std::vector(a), std::vector(b), z); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:0: required from here 77 | + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w)) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 363 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:22:0: required from here 22 | vector_d eigenprojections = eigenvectors.transpose() * g; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:22:0: required from here 22 | vector_d eigenprojections = eigenvectors.transpose() * g; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 359 | mat.coeffRef(k,k) -= (A10 * temp.head(k)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:17927:0: required from here 17927 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, -1, 1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:51:11: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 51 | factor_U(U, CPCs); | ~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19828:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19828 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 199 | * CubicInterp(_gk_1.dot(_pk_1), _alphak_1, _fk - _fk_1, /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15: required from ‘stan::value_type_t stan::math::sum(const T&) [with T = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 47 | return m.sum(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/accumulator.hpp:73:0: required from ‘void stan::math::accumulator::type>::value, void>::type>::add(const S&) [with S = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; stan::require_matrix_t* = 0; T = stan::math::var_value; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = stan::math::var_value]’ 73 | buf_.push_back(stan::math::sum(m)); stanExports_stanmarg.h:14224:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14224 | lp_accum__.add(stan::math::minus(log_lik_x)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array, const Eigen::Array > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15: required from ‘stan::value_type_t stan::math::sum(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 47 | return m.sum(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:82:38: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_loc = Eigen::Matrix, -1, 1>; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 82 | T_partials_return logp = -0.5 * sum(y_scaled_sq); | ~~~^~~~~~~~~~~~~ stanExports_stanmarg.h:14522:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14522 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14523 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15: required from ‘stan::value_type_t stan::math::sum(const T&) [with T = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 47 | return m.sum(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:87:16: required from ‘stan::return_type_t stan::math::normal_lpdf(const T_y&, const T_loc&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_loc = Eigen::Matrix, -1, 1>; T_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 87 | logp -= sum(log(sigma_val)) * N / math::size(sigma); | ~~~^~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14522:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14522 | lp_accum__.add(stan::math::normal_lpdf(Lambda_y_free, 14523 | lambda_y_primn, lambda_y_sd)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15: required from ‘stan::value_type_t stan::math::sum(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 47 | return m.sum(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:100:16: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 100 | logp += sum(alpha_val * log_beta) * N / max_size(alpha, beta); | ~~~^~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14604:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14604 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14605 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15: required from ‘stan::value_type_t stan::math::sum(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 47 | return m.sum(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:106:16: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 106 | logp += sum((alpha_val - 1.0) * log_y) * N / max_size(alpha, y); | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14604:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14604 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14605 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15: required from ‘stan::value_type_t stan::math::sum(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 47 | return m.sum(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:109:16: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix, -1, 1>; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = var_value]’ 109 | logp -= sum(beta_val * y_val) * N / max_size(beta, y); | ~~~^~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14604:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14604 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14605 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<-1, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<-1, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<-1, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]’ 288 | typename internal::enable_if::MatchAtCompileTime),Derived>::type* = 0); | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 1; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 463 | BlockType A_0 = lu.block(0,0,rows,k); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:30: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16224:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16224 | stan::math::log_determinant( 16225 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47: required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::MatrixXd = Eigen::Matrix]’ 24 | Eigen::LLT llt_of_S = S.llt(); | ~~~~~^~ stanExports_stanmarg.h:17013:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17013 | stan::math::wishart_rng( 17014 | (stan::model::rvalue(N, "N", stan::model::index_uni(g)) - 1), 17015 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)), 17016 | base_rng__), "assigning variable Sigma_rep_sat", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47: required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::MatrixXd = Eigen::Matrix]’ 24 | Eigen::LLT llt_of_S = S.llt(); | ~~~~~^~ stanExports_stanmarg.h:17013:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17013 | stan::math::wishart_rng( 17014 | (stan::model::rvalue(N, "N", stan::model::index_uni(g)) - 1), 17015 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)), 17016 | base_rng__), "assigning variable Sigma_rep_sat", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47: required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::MatrixXd = Eigen::Matrix]’ 24 | Eigen::LLT llt_of_S = S.llt(); | ~~~~~^~ stanExports_stanmarg.h:17013:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17013 | stan::math::wishart_rng( 17014 | (stan::model::rvalue(N, "N", stan::model::index_uni(g)) - 1), 17015 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)), 17016 | base_rng__), "assigning variable Sigma_rep_sat", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47: required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::MatrixXd = Eigen::Matrix]’ 24 | Eigen::LLT llt_of_S = S.llt(); | ~~~~~^~ stanExports_stanmarg.h:17013:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17013 | stan::math::wishart_rng( 17014 | (stan::model::rvalue(N, "N", stan::model::index_uni(g)) - 1), 17015 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)), 17016 | base_rng__), "assigning variable Sigma_rep_sat", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::Matrix; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Matrix; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Matrix; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/append_col.hpp:49:26: required from ‘auto stan::math::append_col(const T1&, const T2&) [with T1 = Eigen::Matrix; T2 = Eigen::Matrix; = void]’ 49 | result.leftCols(Acols) = A.template cast(); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:2837:0: required from ‘Eigen::Matrix::type, typename stan::base_type::type>::type, -1, -1> model_stanmarg_namespace::calc_B_tilde(const T0__&, const T1__&, const std::vector&, const int&, std::ostream*) [with T0__ = Eigen::Matrix; T1__ = Eigen::Matrix; stan::require_all_t, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 2837 | stan::model::assign(out, stan::math::append_col(mu2, sig2), stanExports_stanmarg.h:17120:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17120 | calc_B_tilde( 17121 | stan::model::rvalue(Sigma_c, "Sigma_c", 17122 | stan::model::index_uni(gg)), YXstar_rep_c, ov_idx2, 17123 | p_tilde, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:53: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::VectorBlock, -1>; T_loc = Eigen::VectorBlock, -1>; T_covar = Eigen::Block, -1, -1, false>; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:4839:0: required from ‘Eigen::Matrix::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type>::type, -1, 1> model_stanmarg_namespace::calc_log_lik_x(const std::vector >&, const T1__&, const T2__&, const T3__&, const T4__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = Eigen::Matrix; T2__ = Eigen::Matrix; T3__ = Eigen::Matrix; T4__ = Eigen::Matrix; stan::require_all_t, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4839 | stan::math::multi_normal_lpdf( 4840 | stan::model::rvalue(mean_d, "mean_d", stan::model::index_uni(cc), 4841 | stan::model::index_min_max(1, Nx_between)), 4842 | stan::model::rvalue(ov_mean_d, "ov_mean_d", 4843 | stan::model::index_min_max(1, Nx_between)), 4844 | stan::model::rvalue(cov_mean_d, "cov_mean_d", 4845 | stan::model::index_min_max(1, Nx_between), 4846 | stan::model::index_min_max(1, Nx_between)))), stanExports_stanmarg.h:17614:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17614 | calc_log_lik_x( 17615 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17616 | stan::model::index_min_max(r2, (clusidx - 1))), 17617 | stan::model::rvalue(mnvecs, "mnvecs", 17618 | stan::model::index_uni(2)), 17619 | stan::model::rvalue(covmats, "covmats", 17620 | stan::model::index_uni(1)), 17621 | stan::model::rvalue(covmats, "covmats", 17622 | stan::model::index_uni(2)), 17623 | stan::model::rvalue(covmats, "covmats", 17624 | stan::model::index_uni(3)), 17625 | stan::model::rvalue(nclus, "nclus", 17626 | stan::model::index_uni(gg)), 17627 | stan::model::rvalue(cluster_size, "cluster_size", 17628 | stan::model::index_min_max(r2, (clusidx - 1))), 17629 | stan::model::rvalue(Xvar, "Xvar", 17630 | stan::model::index_uni(gg)), 17631 | stan::model::rvalue(Xbetvar, "Xbetvar", 17632 | stan::model::index_uni(gg)), 17633 | stan::model::rvalue(Nx, "Nx", 17634 | stan::model::index_uni(gg)), 17635 | stan::model::rvalue(Nx_between, "Nx_between", 17636 | stan::model::index_uni(gg)), pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, true>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 369 | hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | * (conj(h) * matA.col(i).tail(remainingSize))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 372 | hCoeffs.tail(n-i-1) += (conj(h)*RealScalar(-0.5)*(hCoeffs.tail(remainingSize).dot(matA.col(i).tail(remainingSize)))) * matA.col(i).tail(n-i-1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::InnerStride<1> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Array; Src = Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Array; Src = Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_L.hpp:126:21: required from ‘Eigen::Matrix::type, -1, -1> stan::math::read_corr_L(const T&, size_t, stan::value_type_t&) [with T = Eigen::Matrix; stan::require_eigen_vector_t* = 0; typename stan::value_type::type = double; size_t = long unsigned int; stan::value_type_t = double]’ 126 | return read_corr_L(CPCs_ref, K); | ~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/read_corr_matrix.hpp:61:55: required from ‘Eigen::Matrix::type, -1, -1> stan::math::read_corr_matrix(const T_CPCs&, size_t, stan::value_type_t&) [with T_CPCs = Eigen::Matrix; stan::require_eigen_vector_t* = 0; typename stan::value_type::type = double; size_t = long unsigned int; stan::value_type_t = double]’ 61 | return multiply_lower_tri_self_transpose(read_corr_L(CPCs, K, log_prob)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_constrain.hpp:74:26: required from ‘Eigen::Matrix::type, -1, -1> stan::math::corr_matrix_constrain(const T&, Eigen::Index, stan::return_type_t&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; stan::require_eigen_col_vector_t* = 0; typename stan::value_type::type = double; Eigen::Index = long int; stan::return_type_t = double]’ 74 | return read_corr_matrix(corr_constrain(x, lp), k, lp); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:945:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, Eigen::Index) [with Ret = Eigen::Matrix; bool Jacobian = false; LP = double; stan::require_not_std_vector_t* = 0; stan::require_matrix_t* = 0; T = double; Eigen::Index = long int]’ 945 | return corr_matrix_constrain( 946 | this->read>((k * (k - 1)) / 2), 947 | k, lp); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector >; bool Jacobian = false; LP = double; Sizes = {int}; stan::require_std_vector_t* = 0; T = double; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:14930:0: required from here 14928 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 14929 | std::vector>, 14930 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 14931 | Psi_r_mat_1_3dim__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block > >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:17927:0: required from here 17927 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:17927:0: required from here 17927 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block > >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:17927:0: required from here 17927 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/sum.hpp:47:15: required from ‘stan::value_type_t stan::math::sum(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 47 | return m.sum(); | ~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:109:16: required from ‘stan::return_type_t stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_shape = std::vector; T_inv_scale = std::vector; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t* = 0; stan::return_type_t = double]’ 109 | logp -= sum(beta_val * y_val) * N / max_size(beta, y); | ~~~^~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14604:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = double; std::ostream = std::basic_ostream]’ 14604 | lp_accum__.add(stan::math::gamma_lpdf(Theta_pri, 14605 | theta_sd_shape, theta_sd_rate)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T_ = double; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0: required from ‘int stan::services::optimize::newton(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 56 | lp = model.template log_prob(cont_vector, disc_vector, 57 | &message); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:502:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 502 | = stan::services::optimize::newton(model, *init_context_ptr, 503 | random_seed, id, init_radius, 504 | num_iterations, 505 | save_iterations, 506 | interrupt, logger, 507 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:72: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55: required from ‘static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Matrix; RhsT = Eigen::Transpose >; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]’ 469 | call_restricted_packet_assignment_no_alias(dst, s * lhs.lazyProduct(rhs), func); | ~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 1; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 377 | = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/inverse_spd.hpp:44:20: required from ‘Eigen::Matrix::type, -1, -1> stan::math::inverse_spd(const EigMat&) [with EigMat = Eigen::Matrix; typename stan::value_type::type = double]’ 44 | return ldlt.solve( | ~~~~~~~~~~^ 45 | Eigen::Matrix::Identity( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 46 | m.rows(), m.cols())); | ~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:16219:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16219 | stan::math::inverse_spd( 16220 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/inverse_spd.hpp:44:20: required from ‘Eigen::Matrix::type, -1, -1> stan::math::inverse_spd(const EigMat&) [with EigMat = Eigen::Matrix; typename stan::value_type::type = double]’ 44 | return ldlt.solve( | ~~~~~~~~~~^ 45 | Eigen::Matrix::Identity( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 46 | m.rows(), m.cols())); | ~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:16219:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16219 | stan::math::inverse_spd( 16220 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, 1, -1, false> >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, 1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 374 | this->visit(maxVisitor); | ~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 501 | return maxCoeff(index); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:521:90: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 521 | RealScalar biggest_col_sq_norm = numext::abs2(m_colNormsUpdated.tail(cols-k).maxCoeff(&biggest_col_index)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16224:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16224 | stan::math::log_determinant( 16225 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47: required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::MatrixXd = Eigen::Matrix]’ 24 | Eigen::LLT llt_of_S = S.llt(); | ~~~~~^~ stanExports_stanmarg.h:17013:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17013 | stan::math::wishart_rng( 17014 | (stan::model::rvalue(N, "N", stan::model::index_uni(g)) - 1), 17015 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)), 17016 | base_rng__), "assigning variable Sigma_rep_sat", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47: required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::MatrixXd = Eigen::Matrix]’ 24 | Eigen::LLT llt_of_S = S.llt(); | ~~~~~^~ stanExports_stanmarg.h:17013:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17013 | stan::math::wishart_rng( 17014 | (stan::model::rvalue(N, "N", stan::model::index_uni(g)) - 1), 17015 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)), 17016 | base_rng__), "assigning variable Sigma_rep_sat", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Matrix; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:17260:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17260 | stan::math::tcrossprod( 17261 | stan::math::to_matrix( 17262 | stan::math::subtract( 17263 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17264 | stan::model::index_uni(ii)), 17265 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17266 | stan::model::index_uni(clusidx)))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Matrix; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:17260:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17260 | stan::math::tcrossprod( 17261 | stan::math::to_matrix( 17262 | stan::math::subtract( 17263 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17264 | stan::model::index_uni(ii)), 17265 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17266 | stan::model::index_uni(clusidx)))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Matrix; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:17260:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17260 | stan::math::tcrossprod( 17261 | stan::math::to_matrix( 17262 | stan::math::subtract( 17263 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17264 | stan::model::index_uni(ii)), 17265 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17266 | stan::model::index_uni(clusidx)))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Matrix; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:17260:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17260 | stan::math::tcrossprod( 17261 | stan::math::to_matrix( 17262 | stan::math::subtract( 17263 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17264 | stan::model::index_uni(ii)), 17265 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17266 | stan::model::index_uni(clusidx)))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/access_helpers.hpp:92:0: required from ‘void stan::model::internal::assign_impl(T1&&, T2&&, const char*) [with T1 = Eigen::VectorBlock, -1>; T2 = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >&; stan::require_all_eigen_t* = 0]’ 92 | x = std::forward(y); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:141:0: required from ‘void stan::model::assign(Vec1&&, const Vec2&, const char*, index_min_max) [with Vec1 = Eigen::Matrix&; Vec2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; stan::require_all_vector_t* = 0; stan::require_all_not_std_vector_t* = 0]’ 141 | internal::assign_impl(x.segment(slice_start, slice_size), y, name); stanExports_stanmarg.h:18104:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18104 | stan::model::assign(log_lik, 18105 | stan::math::subtract( 18106 | stan::model::deep_copy( 18107 | stan::model::rvalue(log_lik, "log_lik", 18108 | stan::model::index_min_max(r1, r2))), 18109 | stan::model::rvalue(log_lik_x_full, "log_lik_x_full", 18110 | stan::model::index_min_max(r1, r2))), 18111 | "assigning variable log_lik", 18112 | stan::model::index_min_max(r1, r2)); stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 363 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 369 | hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | * (conj(h) * matA.col(i).tail(remainingSize))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 374 | matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 375 | .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:22:0: required from here 22 | vector_d eigenprojections = eigenvectors.transpose() * g; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:22:0: required from here 22 | vector_d eigenprojections = eigenvectors.transpose() * g; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ 296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:51:11: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 51 | factor_U(U, CPCs); | ~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19828:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19828 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Derived = Eigen::Array]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Derived = Eigen::Array]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:288:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:51:11: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 51 | factor_U(U, CPCs); | ~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19828:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19828 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >, -1, 1, false> >; SrcXprType = Eigen::Array; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >, -1, 1, false> >; SrcXprType = Eigen::Array; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::Array; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/factor_cov_matrix.hpp:51:11: required from ‘bool stan::math::factor_cov_matrix(const T_Sigma&, T_CPCs&&, T_sds&&) [with T_Sigma = Eigen::Matrix; T_CPCs = Eigen::ArrayWrapper >; T_sds = Eigen::Array&; stan::require_eigen_t* = 0; stan::require_all_eigen_vector_t* = 0; stan::require_all_vt_same* = 0]’ 51 | factor_U(U, CPCs); | ~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/corr_matrix_free.hpp:45:38: required from ‘Eigen::Matrix::type, -1, 1> stan::math::corr_matrix_free(const T&) [with T = Eigen::Matrix; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 45 | bool successful = factor_cov_matrix(y, x.array(), sds); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:480:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const Mat&) [with Mat = Eigen::Matrix; stan::require_not_std_vector_t* = 0; T = double]’ 480 | this->write(stan::math::corr_matrix_free(x)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/serializer.hpp:492:0: required from ‘void stan::io::serializer::write_free_corr_matrix(const StdVec&) [with StdVec = std::vector >; stan::require_std_vector_t* = 0; T = double]’ 492 | this->write_free_corr_matrix(ret_i); stanExports_stanmarg.h:19828:0: required from ‘void model_stanmarg_namespace::model_stanmarg::transform_inits_impl(const stan::io::var_context&, VecVar&, std::ostream*) const [with VecVar = std::vector; stan::require_vector_t* = 0; std::ostream = std::basic_ostream]’ 19828 | out__.write_free_corr_matrix(Psi_r_mat_1); stanExports_stanmarg.h:22377:0: required from here 22377 | transform_inits_impl(context, vars, pstream__); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: required from ‘struct Eigen::internal::blas_traits, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 506 | >::type DirectLinearAccessType; | ^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:422:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15659:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15659 | stan::math::quad_form_sym( 15660 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15661 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15659:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15659 | stan::math::quad_form_sym( 15660 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15661 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15659:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15659 | stan::math::quad_form_sym( 15660 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15661 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15659:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15659 | stan::math::quad_form_sym( 15660 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15661 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15659:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15659 | stan::math::quad_form_sym( 15660 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15661 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15659:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15659 | stan::math::quad_form_sym( 15660 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15661 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15701:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15701 | stan::math::quad_form_sym( 15702 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15703 | stan::math::transpose( 15704 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15705 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15701:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15701 | stan::math::quad_form_sym( 15702 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15703 | stan::math::transpose( 15704 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15705 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15701:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15701 | stan::math::quad_form_sym( 15702 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15703 | stan::math::transpose( 15704 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15705 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15701:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15701 | stan::math::quad_form_sym( 15702 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15703 | stan::math::transpose( 15704 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15705 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 0>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 0>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense > >, Eigen::Matrix, 0>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl > >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block > >, Eigen::Matrix, 0>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15701:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15701 | stan::math::quad_form_sym( 15702 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15703 | stan::math::transpose( 15704 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15705 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, Eigen::Matrix, 0>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, Eigen::Matrix, 0>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15701:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15701 | stan::math::quad_form_sym( 15702 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15703 | stan::math::transpose( 15704 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15705 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16224:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16224 | stan::math::log_determinant( 16225 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 233 | gemm_pack_rhs pack_rhs_panel; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47: required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::MatrixXd = Eigen::Matrix]’ 24 | Eigen::LLT llt_of_S = S.llt(); | ~~~~~^~ stanExports_stanmarg.h:17013:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17013 | stan::math::wishart_rng( 17014 | (stan::model::rvalue(N, "N", stan::model::index_uni(g)) - 1), 17015 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)), 17016 | base_rng__), "assigning variable Sigma_rep_sat", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Matrix; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:17260:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17260 | stan::math::tcrossprod( 17261 | stan::math::to_matrix( 17262 | stan::math::subtract( 17263 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17264 | stan::model::index_uni(ii)), 17265 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17266 | stan::model::index_uni(clusidx)))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Matrix; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:17260:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17260 | stan::math::tcrossprod( 17261 | stan::math::to_matrix( 17262 | stan::math::subtract( 17263 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17264 | stan::model::index_uni(ii)), 17265 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17266 | stan::model::index_uni(clusidx)))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4235:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4235 | stan::math::crossprod( 4236 | stan::model::rvalue(YXfull, "YXfull", 4237 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17751:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17751 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17752 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> > >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> > >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> > >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4235:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4235 | stan::math::crossprod( 4236 | stan::model::rvalue(YXfull, "YXfull", 4237 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17751:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17751 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17752 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> > >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> > >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false> > >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Transpose, -1, -1, false> > >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Transpose, -1, -1, false> > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4235:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4235 | stan::math::crossprod( 4236 | stan::model::rvalue(YXfull, "YXfull", 4237 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17751:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17751 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17752 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, Eigen::Transpose, -1, -1, false> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 1, -1, true>, Eigen::Transpose, -1, -1, false> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true>, Eigen::Transpose, -1, -1, false> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 1, -1, true>, Eigen::Transpose, -1, -1, false> > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 1, -1, true>, Eigen::Transpose, -1, -1, false> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 1, -1, true>, Eigen::Transpose, -1, -1, false> > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4235:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4235 | stan::math::crossprod( 4236 | stan::model::rvalue(YXfull, "YXfull", 4237 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17751:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17751 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17752 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4235:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4235 | stan::math::crossprod( 4236 | stan::model::rvalue(YXfull, "YXfull", 4237 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17751:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17751 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17752 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false> >, 1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false> >, 1, -1, true>, Eigen::Transpose, -1, -1, false> > >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Transpose, -1, -1, false> > >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Transpose, -1, -1, false> > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4235:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4235 | stan::math::crossprod( 4236 | stan::model::rvalue(YXfull, "YXfull", 4237 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17751:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17751 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17752 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, const Eigen::Block > > >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, const Eigen::Block > > >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, const Eigen::Block > > >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, const Eigen::Block > > >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, const Eigen::Block > > >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, const Eigen::Block > > >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose >; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > > >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > > >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > > >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > > >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose >; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > > >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval > > >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl > >, const Eigen::Block > > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > > >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose >; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, Eigen::Transpose > > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, false>, Eigen::Transpose > > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, false>, Eigen::Transpose > > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, 1, -1, false>, Eigen::Transpose > > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, 1, -1, false>, Eigen::Transpose > > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, 1, -1, false>, Eigen::Transpose > > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose >; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose >; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval > >, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl > >, 1, -1, false>, Eigen::Transpose > > >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > > >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose >; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_left_ldlt.hpp:37:24: required from ‘Eigen::Matrix::type, -1, EigMat::ColsAtCompileTime> stan::math::mdivide_left_ldlt(LDLT_factor&, const EigMat&) [with T = Eigen::Matrix; EigMat = Eigen::Matrix; stan::require_eigen_t* = 0; stan::require_all_not_st_var* = 0; stan::require_any_not_t::type>, stan::is_fvar::type, void> >* = 0; typename stan::return_type::type = double]’ 37 | return A.ldlt().solve( | ~~~~~~~~~~~~~~^ 38 | Eigen::Matrix, EigMat::RowsAtCompileTime, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 39 | EigMat::ColsAtCompileTime>(b)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = double]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:18158:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18158 | stan::math::wishart_lpdf( 18159 | stan::math::multiply( 18160 | (stan::model::rvalue(N, "N", stan::model::index_uni(mm)) - 18161 | 1), 18162 | stan::model::rvalue(Sstar, "Sstar", 18163 | stan::model::index_uni(mm))), 18164 | (stan::model::rvalue(N, "N", stan::model::index_uni(mm)) - 18165 | 1), 18166 | stan::model::rvalue(Sigma, "Sigma", 18167 | stan::model::index_uni(mm))), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: required from ‘struct boost::CopyConstructible<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:125:16: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 125 | struct IncrementableIteratorConcept : CopyConstructible | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:0: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:0: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( 159 | Result, 160 | Input, 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0: required from here 19 | boost::split(parts, variable, boost::is_any_of(":")); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:31: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_concepts.hpp:114:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:0: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:0: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( 159 | Result, 160 | Input, 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0: required from here 19 | boost::split(parts, variable, boost::is_any_of(":")); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_concepts.hpp:114:7: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:0: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:0: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( 159 | Result, 160 | Input, 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0: required from here 19 | boost::split(parts, variable, boost::is_any_of(":")); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:0: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:0: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( 159 | Result, 160 | Input, 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0: required from here 19 | boost::split(parts, variable, boost::is_any_of(":")); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: required from ‘struct boost::EqualityComparable<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:0: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:0: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( 159 | Result, 160 | Input, 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0: required from here 19 | boost::split(parts, variable, boost::is_any_of(":")); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:152:13: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:0: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:0: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( 159 | Result, 160 | Input, 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0: required from here 19 | boost::split(parts, variable, boost::is_any_of(":")); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:152:13: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ > >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:0: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:0: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( 159 | Result, 160 | Input, 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0: required from here 19 | boost::split(parts, variable, boost::is_any_of(":")); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ > >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:0: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:0: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( 159 | Result, 160 | Input, 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0: required from here 19 | boost::split(parts, variable, boost::is_any_of(":")); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9: required from ‘struct boost::SinglePassRangeConcept > > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ > > >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/algorithm/equal.hpp:174:13: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:0: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:0: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( 159 | Result, 160 | Input, 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0: required from here 19 | boost::split(parts, variable, boost::is_any_of(":")); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > > >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: required from ‘struct boost::SinglePassRangeConcept > > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ > > >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/algorithm/equal.hpp:174:13: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:0: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:0: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( 159 | Result, 160 | Input, 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0: required from here 19 | boost::split(parts, variable, boost::is_any_of(":")); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept > > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::SinglePassRangeConcept > > >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/algorithm/equal.hpp:174:13: required from ‘bool boost::range::equal(const SinglePassRange1&, const SinglePassRange2&) [with SinglePassRange1 = boost::iterator_range<__gnu_cxx::__normal_iterator > >; SinglePassRange2 = boost::iterator_range<__gnu_cxx::__normal_iterator > >]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/iterator_range_core.hpp:644:32: required from ‘bool boost::operator==(const iterator_range&, const iterator_range&) [with Iterator1T = __gnu_cxx::__normal_iterator >; Iterator2T = __gnu_cxx::__normal_iterator >]’ 644 | return boost::equal( l, r ); | ~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/find_iterator.hpp:359:0: required from ‘bool boost::algorithm::split_iterator::equal(const boost::algorithm::split_iterator&) const [with IteratorT = __gnu_cxx::__normal_iterator >]’ 359 | m_Match==Other.m_Match && /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:649:26: required from ‘static bool boost::iterators::iterator_core_access::equal(const Facade1&, const Facade2&, mpl_::true_) [with Facade1 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >; Facade2 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >; mpl_::true_ = mpl_::bool_]’ 649 | return f1.equal(f2); | ~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:981:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator==(const iterator_facade&, const iterator_facade&) [with Derived1 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >; V1 = const boost::iterator_range<__gnu_cxx::__normal_iterator > >; TC1 = forward_traversal_tag; Reference1 = const boost::iterator_range<__gnu_cxx::__normal_iterator > >&; Difference1 = long int; Derived2 = boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >; V2 = const boost::iterator_range<__gnu_cxx::__normal_iterator > >; TC2 = forward_traversal_tag; Reference2 = const boost::iterator_range<__gnu_cxx::__normal_iterator > >&; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_adaptor.hpp:305:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:0: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:0: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( 159 | Result, 160 | Input, 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0: required from here 19 | boost::split(parts, variable, boost::is_any_of(":")); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = const boost::iterator_range<__gnu_cxx::__normal_iterator > >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]’ 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from ‘Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 145 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 31 | arena_L.adj() += ((res.adj().transpose() + res.adj()) 32 | * arena_L_val.template triangularView()) 33 | .template triangularView(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:74: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]’ 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from ‘Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 145 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 31 | arena_L.adj() += ((res.adj().transpose() + res.adj()) 32 | * arena_L_val.template triangularView()) 33 | .template triangularView(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]’ 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from ‘Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 145 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 31 | arena_L.adj() += ((res.adj().transpose() + res.adj()) 32 | * arena_L_val.template triangularView()) 33 | .template triangularView(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 363 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:337: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]’ 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’ 805 | selfadjoint_product_impl::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 369 | hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | * (conj(h) * matA.col(i).tail(remainingSize))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:17927:0: required from here 17927 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:17927:0: required from here 17927 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 155 | pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:520:25: required from ‘void Eigen::LLT::solveInPlace(const Eigen::MatrixBase&) const [with Derived = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 520 | matrixL().solveInPlace(bAndX); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:56:0: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4435:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:22: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14332:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14332 | lp_accum__.add(stan::math::multi_normal_lpdf( 14333 | stan::model::rvalue(YXstar, "YXstar", 14334 | stan::model::index_min_max(r1, r2), 14335 | stan::model::index_min_max(1, 14336 | stan::model::rvalue(Nobs, "Nobs", 14337 | stan::model::index_uni(mm)))), 14338 | stan::model::rvalue(Mu, "Mu", 14339 | stan::model::index_uni(grpidx), 14340 | stan::model::index_multi( 14341 | stan::model::rvalue(obsidx, "obsidx", 14342 | stan::model::index_min_max(1, 14343 | stan::model::rvalue(Nobs, "Nobs", 14344 | stan::model::index_uni(mm)))))), 14345 | stan::model::rvalue(Sigma, "Sigma", 14346 | stan::model::index_uni(grpidx), 14347 | stan::model::index_multi( 14348 | stan::model::rvalue(obsidx, "obsidx", 14349 | stan::model::index_min_max(1, 14350 | stan::model::rvalue(Nobs, "Nobs", 14351 | stan::model::index_uni(mm))))), 14352 | stan::model::index_multi( 14353 | stan::model::rvalue(obsidx, "obsidx", 14354 | stan::model::index_min_max(1, 14355 | stan::model::rvalue(Nobs, "Nobs", 14356 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 6; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1632:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14332:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14332 | lp_accum__.add(stan::math::multi_normal_lpdf( 14333 | stan::model::rvalue(YXstar, "YXstar", 14334 | stan::model::index_min_max(r1, r2), 14335 | stan::model::index_min_max(1, 14336 | stan::model::rvalue(Nobs, "Nobs", 14337 | stan::model::index_uni(mm)))), 14338 | stan::model::rvalue(Mu, "Mu", 14339 | stan::model::index_uni(grpidx), 14340 | stan::model::index_multi( 14341 | stan::model::rvalue(obsidx, "obsidx", 14342 | stan::model::index_min_max(1, 14343 | stan::model::rvalue(Nobs, "Nobs", 14344 | stan::model::index_uni(mm)))))), 14345 | stan::model::rvalue(Sigma, "Sigma", 14346 | stan::model::index_uni(grpidx), 14347 | stan::model::index_multi( 14348 | stan::model::rvalue(obsidx, "obsidx", 14349 | stan::model::index_min_max(1, 14350 | stan::model::rvalue(Nobs, "Nobs", 14351 | stan::model::index_uni(mm))))), 14352 | stan::model::index_multi( 14353 | stan::model::rvalue(obsidx, "obsidx", 14354 | stan::model::index_min_max(1, 14355 | stan::model::rvalue(Nobs, "Nobs", 14356 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14332:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14332 | lp_accum__.add(stan::math::multi_normal_lpdf( 14333 | stan::model::rvalue(YXstar, "YXstar", 14334 | stan::model::index_min_max(r1, r2), 14335 | stan::model::index_min_max(1, 14336 | stan::model::rvalue(Nobs, "Nobs", 14337 | stan::model::index_uni(mm)))), 14338 | stan::model::rvalue(Mu, "Mu", 14339 | stan::model::index_uni(grpidx), 14340 | stan::model::index_multi( 14341 | stan::model::rvalue(obsidx, "obsidx", 14342 | stan::model::index_min_max(1, 14343 | stan::model::rvalue(Nobs, "Nobs", 14344 | stan::model::index_uni(mm)))))), 14345 | stan::model::rvalue(Sigma, "Sigma", 14346 | stan::model::index_uni(grpidx), 14347 | stan::model::index_multi( 14348 | stan::model::rvalue(obsidx, "obsidx", 14349 | stan::model::index_min_max(1, 14350 | stan::model::rvalue(Nobs, "Nobs", 14351 | stan::model::index_uni(mm))))), 14352 | stan::model::index_multi( 14353 | stan::model::rvalue(obsidx, "obsidx", 14354 | stan::model::index_min_max(1, 14355 | stan::model::rvalue(Nobs, "Nobs", 14356 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 6; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1632:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14332:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14332 | lp_accum__.add(stan::math::multi_normal_lpdf( 14333 | stan::model::rvalue(YXstar, "YXstar", 14334 | stan::model::index_min_max(r1, r2), 14335 | stan::model::index_min_max(1, 14336 | stan::model::rvalue(Nobs, "Nobs", 14337 | stan::model::index_uni(mm)))), 14338 | stan::model::rvalue(Mu, "Mu", 14339 | stan::model::index_uni(grpidx), 14340 | stan::model::index_multi( 14341 | stan::model::rvalue(obsidx, "obsidx", 14342 | stan::model::index_min_max(1, 14343 | stan::model::rvalue(Nobs, "Nobs", 14344 | stan::model::index_uni(mm)))))), 14345 | stan::model::rvalue(Sigma, "Sigma", 14346 | stan::model::index_uni(grpidx), 14347 | stan::model::index_multi( 14348 | stan::model::rvalue(obsidx, "obsidx", 14349 | stan::model::index_min_max(1, 14350 | stan::model::rvalue(Nobs, "Nobs", 14351 | stan::model::index_uni(mm))))), 14352 | stan::model::index_multi( 14353 | stan::model::rvalue(obsidx, "obsidx", 14354 | stan::model::index_min_max(1, 14355 | stan::model::rvalue(Nobs, "Nobs", 14356 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:22: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14332:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14332 | lp_accum__.add(stan::math::multi_normal_lpdf( 14333 | stan::model::rvalue(YXstar, "YXstar", 14334 | stan::model::index_min_max(r1, r2), 14335 | stan::model::index_min_max(1, 14336 | stan::model::rvalue(Nobs, "Nobs", 14337 | stan::model::index_uni(mm)))), 14338 | stan::model::rvalue(Mu, "Mu", 14339 | stan::model::index_uni(grpidx), 14340 | stan::model::index_multi( 14341 | stan::model::rvalue(obsidx, "obsidx", 14342 | stan::model::index_min_max(1, 14343 | stan::model::rvalue(Nobs, "Nobs", 14344 | stan::model::index_uni(mm)))))), 14345 | stan::model::rvalue(Sigma, "Sigma", 14346 | stan::model::index_uni(grpidx), 14347 | stan::model::index_multi( 14348 | stan::model::rvalue(obsidx, "obsidx", 14349 | stan::model::index_min_max(1, 14350 | stan::model::rvalue(Nobs, "Nobs", 14351 | stan::model::index_uni(mm))))), 14352 | stan::model::index_multi( 14353 | stan::model::rvalue(obsidx, "obsidx", 14354 | stan::model::index_min_max(1, 14355 | stan::model::rvalue(Nobs, "Nobs", 14356 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 6; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1632:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14332:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14332 | lp_accum__.add(stan::math::multi_normal_lpdf( 14333 | stan::model::rvalue(YXstar, "YXstar", 14334 | stan::model::index_min_max(r1, r2), 14335 | stan::model::index_min_max(1, 14336 | stan::model::rvalue(Nobs, "Nobs", 14337 | stan::model::index_uni(mm)))), 14338 | stan::model::rvalue(Mu, "Mu", 14339 | stan::model::index_uni(grpidx), 14340 | stan::model::index_multi( 14341 | stan::model::rvalue(obsidx, "obsidx", 14342 | stan::model::index_min_max(1, 14343 | stan::model::rvalue(Nobs, "Nobs", 14344 | stan::model::index_uni(mm)))))), 14345 | stan::model::rvalue(Sigma, "Sigma", 14346 | stan::model::index_uni(grpidx), 14347 | stan::model::index_multi( 14348 | stan::model::rvalue(obsidx, "obsidx", 14349 | stan::model::index_min_max(1, 14350 | stan::model::rvalue(Nobs, "Nobs", 14351 | stan::model::index_uni(mm))))), 14352 | stan::model::index_multi( 14353 | stan::model::rvalue(obsidx, "obsidx", 14354 | stan::model::index_min_max(1, 14355 | stan::model::rvalue(Nobs, "Nobs", 14356 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 6; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1632:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14332:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14332 | lp_accum__.add(stan::math::multi_normal_lpdf( 14333 | stan::model::rvalue(YXstar, "YXstar", 14334 | stan::model::index_min_max(r1, r2), 14335 | stan::model::index_min_max(1, 14336 | stan::model::rvalue(Nobs, "Nobs", 14337 | stan::model::index_uni(mm)))), 14338 | stan::model::rvalue(Mu, "Mu", 14339 | stan::model::index_uni(grpidx), 14340 | stan::model::index_multi( 14341 | stan::model::rvalue(obsidx, "obsidx", 14342 | stan::model::index_min_max(1, 14343 | stan::model::rvalue(Nobs, "Nobs", 14344 | stan::model::index_uni(mm)))))), 14345 | stan::model::rvalue(Sigma, "Sigma", 14346 | stan::model::index_uni(grpidx), 14347 | stan::model::index_multi( 14348 | stan::model::rvalue(obsidx, "obsidx", 14349 | stan::model::index_min_max(1, 14350 | stan::model::rvalue(Nobs, "Nobs", 14351 | stan::model::index_uni(mm))))), 14352 | stan::model::index_multi( 14353 | stan::model::rvalue(obsidx, "obsidx", 14354 | stan::model::index_min_max(1, 14355 | stan::model::rvalue(Nobs, "Nobs", 14356 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 0>; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 533 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 2, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 2, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 2, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 2, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 2, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 2, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 2, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 2, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from ‘PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::Index = long int]’ 217 | PanelEvaluator panel_eval(panel); | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:251:78: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]’ 251 | PacketScalar packet_res0 = eval.template packet(alignedStart); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15659:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15659 | stan::math::quad_form_sym( 15660 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15661 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15659:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15659 | stan::math::quad_form_sym( 15660 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15661 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15659:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15659 | stan::math::quad_form_sym( 15660 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15661 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15701:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15701 | stan::math::quad_form_sym( 15702 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15703 | stan::math::transpose( 15704 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15705 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15701:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15701 | stan::math::quad_form_sym( 15702 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15703 | stan::math::transpose( 15704 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15705 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15701:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15701 | stan::math::quad_form_sym( 15702 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15703 | stan::math::transpose( 15704 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15705 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:511:85: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 511 | RealScalar threshold_helper = numext::abs2(m_colNormsUpdated.maxCoeff() * NumTraits::epsilon()) / RealScalar(rows); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16224:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16224 | stan::math::log_determinant( 16225 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47: required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::MatrixXd = Eigen::Matrix]’ 24 | Eigen::LLT llt_of_S = S.llt(); | ~~~~~^~ stanExports_stanmarg.h:17013:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17013 | stan::math::wishart_rng( 17014 | (stan::model::rvalue(N, "N", stan::model::index_uni(g)) - 1), 17015 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)), 17016 | base_rng__), "assigning variable Sigma_rep_sat", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 319 | pack_lhs_panel(blockA, lhs.getSubMapper(i2,absolute_j2), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 320 | actualPanelWidth, actual_mc, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 321 | actual_kc, j2); | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47: required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::MatrixXd = Eigen::Matrix]’ 24 | Eigen::LLT llt_of_S = S.llt(); | ~~~~~^~ stanExports_stanmarg.h:17013:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17013 | stan::math::wishart_rng( 17014 | (stan::model::rvalue(N, "N", stan::model::index_uni(g)) - 1), 17015 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)), 17016 | base_rng__), "assigning variable Sigma_rep_sat", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Matrix; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:17260:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17260 | stan::math::tcrossprod( 17261 | stan::math::to_matrix( 17262 | stan::math::subtract( 17263 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17264 | stan::model::index_uni(ii)), 17265 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17266 | stan::model::index_uni(clusidx)))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, Eigen::Transpose, -1, -1, false> > >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, Eigen::Transpose, -1, -1, false> > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, Eigen::Transpose, -1, -1, false> > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, Eigen::Transpose, -1, -1, false> > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, Eigen::Transpose, -1, -1, false> > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, Eigen::Transpose, -1, -1, false> > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4235:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4235 | stan::math::crossprod( 4236 | stan::model::rvalue(YXfull, "YXfull", 4237 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17751:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17751 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17752 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> > >, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> > >, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> > >, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> > >, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4235:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4235 | stan::math::crossprod( 4236 | stan::model::rvalue(YXfull, "YXfull", 4237 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17751:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17751 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17752 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 1, -1, true>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, 1, -1, true>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, 1, -1, true>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4235:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4235 | stan::math::crossprod( 4236 | stan::model::rvalue(YXfull, "YXfull", 4237 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17751:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17751 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17752 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Transpose > > >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Transpose > > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Transpose > > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Transpose > > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Transpose > > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Transpose > > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose >; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > > >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > > >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > > >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > > >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose >; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose >; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3403:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3403 | stan::model::assign(Vinv_11, 3404 | stan::math::add(Sigma_zz_inv, 3405 | stan::math::multiply(nj, 3406 | stan::math::multiply(stan::math::transpose(Sigma_yz_zi), 3407 | Sigma_ji_yz_zi))), "assigning variable Vinv_11"); stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>’ 113 | LhsNested m_lhs; | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3403:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3403 | stan::model::assign(Vinv_11, 3404 | stan::math::add(Sigma_zz_inv, 3405 | stan::math::multiply(nj, 3406 | stan::math::multiply(stan::math::transpose(Sigma_yz_zi), 3407 | Sigma_ji_yz_zi))), "assigning variable Vinv_11"); stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:42: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18414:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18414 | -stan::math::multi_normal_lpdf( 18415 | stan::model::rvalue(YXstar, "YXstar", 18416 | stan::model::index_uni(jj), 18417 | stan::model::index_multi( 18418 | stan::model::rvalue(xdatidx, "xdatidx", 18419 | stan::model::index_min_max(1, 18420 | stan::model::rvalue(Nx, "Nx", 18421 | stan::model::index_uni(mm)))))), 18422 | stan::model::rvalue(Mu, "Mu", 18423 | stan::model::index_uni(grpidx), 18424 | stan::model::index_multi( 18425 | stan::model::rvalue(xidx, "xidx", 18426 | stan::model::index_min_max(1, 18427 | stan::model::rvalue(Nx, "Nx", 18428 | stan::model::index_uni(mm)))))), 18429 | stan::model::rvalue(Sigma, "Sigma", 18430 | stan::model::index_uni(grpidx), 18431 | stan::model::index_multi( 18432 | stan::model::rvalue(xidx, "xidx", 18433 | stan::model::index_min_max(1, 18434 | stan::model::rvalue(Nx, "Nx", 18435 | stan::model::index_uni(mm))))), 18436 | stan::model::index_multi( 18437 | stan::model::rvalue(xidx, "xidx", 18438 | stan::model::index_min_max(1, 18439 | stan::model::rvalue(Nx, "Nx", 18440 | stan::model::index_uni(mm)))))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:42: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18414:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18414 | -stan::math::multi_normal_lpdf( 18415 | stan::model::rvalue(YXstar, "YXstar", 18416 | stan::model::index_uni(jj), 18417 | stan::model::index_multi( 18418 | stan::model::rvalue(xdatidx, "xdatidx", 18419 | stan::model::index_min_max(1, 18420 | stan::model::rvalue(Nx, "Nx", 18421 | stan::model::index_uni(mm)))))), 18422 | stan::model::rvalue(Mu, "Mu", 18423 | stan::model::index_uni(grpidx), 18424 | stan::model::index_multi( 18425 | stan::model::rvalue(xidx, "xidx", 18426 | stan::model::index_min_max(1, 18427 | stan::model::rvalue(Nx, "Nx", 18428 | stan::model::index_uni(mm)))))), 18429 | stan::model::rvalue(Sigma, "Sigma", 18430 | stan::model::index_uni(grpidx), 18431 | stan::model::index_multi( 18432 | stan::model::rvalue(xidx, "xidx", 18433 | stan::model::index_min_max(1, 18434 | stan::model::rvalue(Nx, "Nx", 18435 | stan::model::index_uni(mm))))), 18436 | stan::model::index_multi( 18437 | stan::model::rvalue(xidx, "xidx", 18438 | stan::model::index_min_max(1, 18439 | stan::model::rvalue(Nx, "Nx", 18440 | stan::model::index_uni(mm)))))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:42: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18414:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18414 | -stan::math::multi_normal_lpdf( 18415 | stan::model::rvalue(YXstar, "YXstar", 18416 | stan::model::index_uni(jj), 18417 | stan::model::index_multi( 18418 | stan::model::rvalue(xdatidx, "xdatidx", 18419 | stan::model::index_min_max(1, 18420 | stan::model::rvalue(Nx, "Nx", 18421 | stan::model::index_uni(mm)))))), 18422 | stan::model::rvalue(Mu, "Mu", 18423 | stan::model::index_uni(grpidx), 18424 | stan::model::index_multi( 18425 | stan::model::rvalue(xidx, "xidx", 18426 | stan::model::index_min_max(1, 18427 | stan::model::rvalue(Nx, "Nx", 18428 | stan::model::index_uni(mm)))))), 18429 | stan::model::rvalue(Sigma, "Sigma", 18430 | stan::model::index_uni(grpidx), 18431 | stan::model::index_multi( 18432 | stan::model::rvalue(xidx, "xidx", 18433 | stan::model::index_min_max(1, 18434 | stan::model::rvalue(Nx, "Nx", 18435 | stan::model::index_uni(mm))))), 18436 | stan::model::index_multi( 18437 | stan::model::rvalue(xidx, "xidx", 18438 | stan::model::index_min_max(1, 18439 | stan::model::rvalue(Nx, "Nx", 18440 | stan::model::index_uni(mm)))))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: required from ‘struct boost::CopyConstructible<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:125:16: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 125 | struct IncrementableIteratorConcept : CopyConstructible | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:0: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:0: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( 159 | Result, 160 | Input, 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0: required from here 19 | boost::split(parts, variable, boost::is_any_of(":")); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::CopyConstructible::~CopyConstructible() [with TT = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 167 | BOOST_CONCEPT_USAGE(CopyConstructible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:0: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:0: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( 159 | Result, 160 | Input, 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0: required from here 19 | boost::split(parts, variable, boost::is_any_of(":")); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:0: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:0: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( 159 | Result, 160 | Input, 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0: required from here 19 | boost::split(parts, variable, boost::is_any_of(":")); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::IncrementableIteratorConcept::~IncrementableIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 136 | BOOST_CONCEPT_USAGE(IncrementableIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: required from ‘struct boost::EqualityComparable<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:0: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:0: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( 159 | Result, 160 | Input, 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0: required from here 19 | boost::split(parts, variable, boost::is_any_of(":")); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::EqualityComparable::~EqualityComparable() [with TT = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 233 | BOOST_CONCEPT_USAGE(EqualityComparable) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:0: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:0: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( 159 | Result, 160 | Input, 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0: required from here 19 | boost::split(parts, variable, boost::is_any_of(":")); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:0: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:0: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( 159 | Result, 160 | Input, 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0: required from here 19 | boost::split(parts, variable, boost::is_any_of(":")); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept > > >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: required from ‘struct boost::SinglePassRangeConcept > > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_facade.hpp:982:3: required from ‘typename boost::iterators::detail::enable_if_interoperable::type>::type boost::iterators::operator!=(const iterator_facade&, const iterator_facade&) [with Derived1 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string; Difference1 = long int; Derived2 = transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string; Difference2 = long int; typename detail::enable_if_interoperable::type>::type = bool; typename boost::mpl::apply2::type = bool]’ 966 | return_prefix iterator_core_access::base_op( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 967 | *static_cast(&lhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 968 | , *static_cast(&rhs) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 969 | , BOOST_ITERATOR_CONVERTIBLE(Derived2,Derived1) \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 970 | ); \ | ~ /usr/include/c++/14/bits/stl_vector.h:1673:21: required from ‘void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >]’ 1673 | for (; __first != __last; ++__first) | ~~~~~~~~^~~~~~~~~ /usr/include/c++/14/bits/stl_vector.h:711:23: required from ‘std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator, __gnu_cxx::__normal_iterator > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator > >, boost::use_default, boost::use_default>; = void; _Tp = std::__cxx11::basic_string; _Alloc = std::allocator >; allocator_type = std::allocator >]’ 711 | _M_range_initialize(__first, __last, | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 712 | std::__iterator_category(__first)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/iter_find.hpp:186:0: required from ‘SequenceSequenceT& boost::algorithm::iter_split(SequenceSequenceT&, RangeT&&, FinderT) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; FinderT = detail::token_finderF >]’ 186 | SequenceSequenceT Tmp(itBegin, itEnd); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/algorithm/string/split.hpp:158:0: required from ‘SequenceSequenceT& boost::algorithm::split(SequenceSequenceT&, RangeT&&, PredicateT, token_compress_mode_type) [with SequenceSequenceT = std::vector >; RangeT = std::__cxx11::basic_string&; PredicateT = detail::is_any_ofF]’ 158 | return ::boost::algorithm::iter_split( 159 | Result, 160 | Input, 161 | ::boost::algorithm::token_finder( Pred, eCompress ) ); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0: required from here 19 | boost::split(parts, variable, boost::is_any_of(":")); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = const boost::iterator_range<__gnu_cxx::__normal_iterator > >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]’ 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from ‘Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 145 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 31 | arena_L.adj() += ((res.adj().transpose() + res.adj()) 32 | * arena_L_val.template triangularView()) 33 | .template triangularView(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:166: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’ 89 | Index alignedStart = (starti) + internal::first_default_aligned(&res[starti], endi-starti); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]’ 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’ 805 | selfadjoint_product_impl::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 369 | hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | * (conj(h) * matA.col(i).tail(remainingSize))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:22:0: required from here 22 | vector_d eigenprojections = eigenvectors.transpose() * g; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:26:0: required from here 26 | g = eigenvectors * eigenprojections; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose > >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:17927:0: required from here 17927 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 44 | arena_B.adj() += arena_A_val.transpose() * res.adj_op(); stanExports_stanmarg.h:13546:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13546 | stan::math::multiply( 13547 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13548 | stan::model::index_uni(g)), 13549 | stan::model::rvalue(Alpha, "Alpha", 13550 | stan::model::index_uni(g), 13551 | stan::model::index_min_max(1, m), 13552 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 44 | arena_B.adj() += arena_A_val.transpose() * res.adj_op(); stanExports_stanmarg.h:13546:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13546 | stan::math::multiply( 13547 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13548 | stan::model::index_uni(g)), 13549 | stan::model::rvalue(Alpha, "Alpha", 13550 | stan::model::index_uni(g), 13551 | stan::model::index_min_max(1, m), 13552 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:88:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 88 | lp -= 0.5 * nu_ref * log_determinant_ldlt(ldlt_S); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:88:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 88 | lp -= 0.5 * nu_ref * log_determinant_ldlt(ldlt_S); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Solve >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Rhs = Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Solve >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Rhs = Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false> >]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15659:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15659 | stan::math::quad_form_sym( 15660 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15661 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15701:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15701 | stan::math::quad_form_sym( 15702 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15703 | stan::math::transpose( 15704 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15705 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:507:52: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16224:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16224 | stan::math::log_determinant( 16225 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16224:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16224 | stan::math::log_determinant( 16225 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Matrix; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:17260:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17260 | stan::math::tcrossprod( 17261 | stan::math::to_matrix( 17262 | stan::math::subtract( 17263 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17264 | stan::model::index_uni(ii)), 17265 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17266 | stan::model::index_uni(clusidx)))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Matrix; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:17260:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17260 | stan::math::tcrossprod( 17261 | stan::math::to_matrix( 17262 | stan::math::subtract( 17263 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17264 | stan::model::index_uni(ii)), 17265 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17266 | stan::model::index_uni(clusidx)))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Matrix; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:17260:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17260 | stan::math::tcrossprod( 17261 | stan::math::to_matrix( 17262 | stan::math::subtract( 17263 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17264 | stan::model::index_uni(ii)), 17265 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17266 | stan::model::index_uni(clusidx)))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> > > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4235:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4235 | stan::math::crossprod( 4236 | stan::model::rvalue(YXfull, "YXfull", 4237 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17751:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17751 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17752 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4235:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4235 | stan::math::crossprod( 4236 | stan::model::rvalue(YXfull, "YXfull", 4237 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17751:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17751 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17752 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > > > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose >; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose >; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18: required from ‘void Eigen::LDLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::Matrix; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 599 | dst.row(i) /= vecD(i); | ~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:569:31: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:42: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18414:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18414 | -stan::math::multi_normal_lpdf( 18415 | stan::model::rvalue(YXstar, "YXstar", 18416 | stan::model::index_uni(jj), 18417 | stan::model::index_multi( 18418 | stan::model::rvalue(xdatidx, "xdatidx", 18419 | stan::model::index_min_max(1, 18420 | stan::model::rvalue(Nx, "Nx", 18421 | stan::model::index_uni(mm)))))), 18422 | stan::model::rvalue(Mu, "Mu", 18423 | stan::model::index_uni(grpidx), 18424 | stan::model::index_multi( 18425 | stan::model::rvalue(xidx, "xidx", 18426 | stan::model::index_min_max(1, 18427 | stan::model::rvalue(Nx, "Nx", 18428 | stan::model::index_uni(mm)))))), 18429 | stan::model::rvalue(Sigma, "Sigma", 18430 | stan::model::index_uni(grpidx), 18431 | stan::model::index_multi( 18432 | stan::model::rvalue(xidx, "xidx", 18433 | stan::model::index_min_max(1, 18434 | stan::model::rvalue(Nx, "Nx", 18435 | stan::model::index_uni(mm))))), 18436 | stan::model::index_multi( 18437 | stan::model::rvalue(xidx, "xidx", 18438 | stan::model::index_min_max(1, 18439 | stan::model::rvalue(Nx, "Nx", 18440 | stan::model::index_uni(mm)))))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:346:25: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 346 | pack_rhs_panel(blockB+j2*actual_kc, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ 347 | rhs.getSubMapper(actual_k2+panelOffset, actual_j2), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 348 | panelLength, actualPanelWidth, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | actual_kc, panelOffset); | ~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>; int ProductTag = 8; Scalar = double]’ 783 | triangular_product_impl::run(dst, lhs, rhs.nestedExpression(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>; Derived = Eigen::internal::generic_product_impl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>; Derived = Eigen::internal::generic_product_impl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]’ 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from ‘Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 145 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 31 | arena_L.adj() += ((res.adj().transpose() + res.adj()) 32 | * arena_L_val.template triangularView()) 33 | .template triangularView(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 683 | return LDLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:45:67: required from ‘void stan::math::check_pos_definite(const char*, const char*, const EigMat&) [with EigMat = Eigen::Matrix; stan::require_matrix_t* = 0]’ 45 | Eigen::LDLT cholesky = value_of_rec(y_ref).ldlt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0: required from here 21 | stan::math::check_pos_definite("check_pos_definite", "inv_metric", 22 | inv_metric); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block > >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block > >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:17927:0: required from here 17927 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block > >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block > >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:17927:0: required from here 17927 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14332:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14332 | lp_accum__.add(stan::math::multi_normal_lpdf( 14333 | stan::model::rvalue(YXstar, "YXstar", 14334 | stan::model::index_min_max(r1, r2), 14335 | stan::model::index_min_max(1, 14336 | stan::model::rvalue(Nobs, "Nobs", 14337 | stan::model::index_uni(mm)))), 14338 | stan::model::rvalue(Mu, "Mu", 14339 | stan::model::index_uni(grpidx), 14340 | stan::model::index_multi( 14341 | stan::model::rvalue(obsidx, "obsidx", 14342 | stan::model::index_min_max(1, 14343 | stan::model::rvalue(Nobs, "Nobs", 14344 | stan::model::index_uni(mm)))))), 14345 | stan::model::rvalue(Sigma, "Sigma", 14346 | stan::model::index_uni(grpidx), 14347 | stan::model::index_multi( 14348 | stan::model::rvalue(obsidx, "obsidx", 14349 | stan::model::index_min_max(1, 14350 | stan::model::rvalue(Nobs, "Nobs", 14351 | stan::model::index_uni(mm))))), 14352 | stan::model::index_multi( 14353 | stan::model::rvalue(obsidx, "obsidx", 14354 | stan::model::index_min_max(1, 14355 | stan::model::rvalue(Nobs, "Nobs", 14356 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14332:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14332 | lp_accum__.add(stan::math::multi_normal_lpdf( 14333 | stan::model::rvalue(YXstar, "YXstar", 14334 | stan::model::index_min_max(r1, r2), 14335 | stan::model::index_min_max(1, 14336 | stan::model::rvalue(Nobs, "Nobs", 14337 | stan::model::index_uni(mm)))), 14338 | stan::model::rvalue(Mu, "Mu", 14339 | stan::model::index_uni(grpidx), 14340 | stan::model::index_multi( 14341 | stan::model::rvalue(obsidx, "obsidx", 14342 | stan::model::index_min_max(1, 14343 | stan::model::rvalue(Nobs, "Nobs", 14344 | stan::model::index_uni(mm)))))), 14345 | stan::model::rvalue(Sigma, "Sigma", 14346 | stan::model::index_uni(grpidx), 14347 | stan::model::index_multi( 14348 | stan::model::rvalue(obsidx, "obsidx", 14349 | stan::model::index_min_max(1, 14350 | stan::model::rvalue(Nobs, "Nobs", 14351 | stan::model::index_uni(mm))))), 14352 | stan::model::index_multi( 14353 | stan::model::rvalue(obsidx, "obsidx", 14354 | stan::model::index_min_max(1, 14355 | stan::model::rvalue(Nobs, "Nobs", 14356 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14332:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14332 | lp_accum__.add(stan::math::multi_normal_lpdf( 14333 | stan::model::rvalue(YXstar, "YXstar", 14334 | stan::model::index_min_max(r1, r2), 14335 | stan::model::index_min_max(1, 14336 | stan::model::rvalue(Nobs, "Nobs", 14337 | stan::model::index_uni(mm)))), 14338 | stan::model::rvalue(Mu, "Mu", 14339 | stan::model::index_uni(grpidx), 14340 | stan::model::index_multi( 14341 | stan::model::rvalue(obsidx, "obsidx", 14342 | stan::model::index_min_max(1, 14343 | stan::model::rvalue(Nobs, "Nobs", 14344 | stan::model::index_uni(mm)))))), 14345 | stan::model::rvalue(Sigma, "Sigma", 14346 | stan::model::index_uni(grpidx), 14347 | stan::model::index_multi( 14348 | stan::model::rvalue(obsidx, "obsidx", 14349 | stan::model::index_min_max(1, 14350 | stan::model::rvalue(Nobs, "Nobs", 14351 | stan::model::index_uni(mm))))), 14352 | stan::model::index_multi( 14353 | stan::model::rvalue(obsidx, "obsidx", 14354 | stan::model::index_min_max(1, 14355 | stan::model::rvalue(Nobs, "Nobs", 14356 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4492:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4492:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:483:24: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, true>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, true>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, true>, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose >, Eigen::Transpose > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:42:17: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~~~ 40 | .solve(Eigen::Matrix(b) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 41 | .transpose()) | ~~~~~~~~~~~~~ 42 | .transpose(); | ~~~~~~~~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15659:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15659 | stan::math::quad_form_sym( 15660 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15661 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15659:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15659 | stan::math::quad_form_sym( 15660 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15661 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15659:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15659 | stan::math::quad_form_sym( 15660 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15661 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15659:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15659 | stan::math::quad_form_sym( 15660 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15661 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 0>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 0>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15701:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15701 | stan::math::quad_form_sym( 15702 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15703 | stan::math::transpose( 15704 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15705 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15701:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15701 | stan::math::quad_form_sym( 15702 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15703 | stan::math::transpose( 15704 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15705 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15701:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15701 | stan::math::quad_form_sym( 15702 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15703 | stan::math::transpose( 15704 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15705 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15701:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15701 | stan::math::quad_form_sym( 15702 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15703 | stan::math::transpose( 15704 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15705 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from ‘Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 22 | res_map = matrix; | ~~~~~~~~^~~~~~~~ stanExports_stanmarg.h:15717:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15717 | stan::math::to_vector( 15718 | stan::math::multiply( 15719 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15720 | stan::model::index_uni(g)), 15721 | stan::model::rvalue(Alpha, "Alpha", 15722 | stan::model::index_uni(g), 15723 | stan::model::index_min_max(1, m), 15724 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16224:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16224 | stan::math::log_determinant( 16225 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16224:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16224 | stan::math::log_determinant( 16225 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47: required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::MatrixXd = Eigen::Matrix]’ 24 | Eigen::LLT llt_of_S = S.llt(); | ~~~~~^~ stanExports_stanmarg.h:17013:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17013 | stan::math::wishart_rng( 17014 | (stan::model::rvalue(N, "N", stan::model::index_uni(g)) - 1), 17015 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)), 17016 | base_rng__), "assigning variable Sigma_rep_sat", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false> > >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4235:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4235 | stan::math::crossprod( 4236 | stan::model::rvalue(YXfull, "YXfull", 4237 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17751:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17751 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17752 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 1, -1, true>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >, 1, -1, true>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4235:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4235 | stan::math::crossprod( 4236 | stan::model::rvalue(YXfull, "YXfull", 4237 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17751:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17751 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17752 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, -1, false> > >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4235:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4235 | stan::math::crossprod( 4236 | stan::model::rvalue(YXfull, "YXfull", 4237 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17751:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17751 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17752 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block > > >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block > > >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block > > >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block > > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block > > >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, false>; U = Eigen::Block > > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose >; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose >; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block > > >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose >; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 123 | Base::operator=(a); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 68 | *this = other; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0: required from ‘stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix; typename stan::plain_type::type = Eigen::Matrix]’ 722 | : val_(x), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/var.hpp:366:0: required from ‘stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]’ 366 | var_value(S&& x) : vi_(new vari_type(std::forward(x), false)) {} // NOLINT /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 27 | arena_t res = arena_L_val.template triangularView() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 123 | Base::operator=(a); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 68 | *this = other; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0: required from ‘stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix; typename stan::plain_type::type = Eigen::Matrix]’ 722 | : val_(x), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/var.hpp:366:0: required from ‘stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]’ 366 | var_value(S&& x) : vi_(new vari_type(std::forward(x), false)) {} // NOLINT /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 27 | arena_t res = arena_L_val.template triangularView() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 123 | Base::operator=(a); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 68 | *this = other; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0: required from ‘stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix; typename stan::plain_type::type = Eigen::Matrix]’ 722 | : val_(x), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/var.hpp:366:0: required from ‘stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]’ 366 | var_value(S&& x) : vi_(new vari_type(std::forward(x), false)) {} // NOLINT /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 27 | arena_t res = arena_L_val.template triangularView() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 123 | Base::operator=(a); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 68 | *this = other; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0: required from ‘stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix; typename stan::plain_type::type = Eigen::Matrix]’ 722 | : val_(x), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/var.hpp:366:0: required from ‘stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]’ 366 | var_value(S&& x) : vi_(new vari_type(std::forward(x), false)) {} // NOLINT /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 27 | arena_t res = arena_L_val.template triangularView() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]’ 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from ‘Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 145 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 31 | arena_L.adj() += ((res.adj().transpose() + res.adj()) 32 | * arena_L_val.template triangularView()) 33 | .template triangularView(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 73 | triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 40 | _Hk = Hupd * _Hk * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 40 | _Hk = Hupd * _Hk * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 40 | _Hk = Hupd * _Hk * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 40 | _Hk = Hupd * _Hk * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 44 | arena_B.adj() += arena_A_val.transpose() * res.adj_op(); stanExports_stanmarg.h:13546:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13546 | stan::math::multiply( 13547 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13548 | stan::model::index_uni(g)), 13549 | stan::model::rvalue(Alpha, "Alpha", 13550 | stan::model::index_uni(g), 13551 | stan::model::index_min_max(1, m), 13552 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 44 | arena_B.adj() += arena_A_val.transpose() * res.adj_op(); stanExports_stanmarg.h:13546:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13546 | stan::math::multiply( 13547 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13548 | stan::model::index_uni(g)), 13549 | stan::model::rvalue(Alpha, "Alpha", 13550 | stan::model::index_uni(g), 13551 | stan::model::index_min_max(1, m), 13552 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 48 | arena_B.adj() += arena_A_val.transpose() * res_adj; stanExports_stanmarg.h:13546:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13546 | stan::math::multiply( 13547 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13548 | stan::model::index_uni(g)), 13549 | stan::model::rvalue(Alpha, "Alpha", 13550 | stan::model::index_uni(g), 13551 | stan::model::index_min_max(1, m), 13552 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 366 | dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]’ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; Rhs = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 366 | dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]’ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = false; typename Dest::Scalar = double]’ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseUnaryView, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14332:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14332 | lp_accum__.add(stan::math::multi_normal_lpdf( 14333 | stan::model::rvalue(YXstar, "YXstar", 14334 | stan::model::index_min_max(r1, r2), 14335 | stan::model::index_min_max(1, 14336 | stan::model::rvalue(Nobs, "Nobs", 14337 | stan::model::index_uni(mm)))), 14338 | stan::model::rvalue(Mu, "Mu", 14339 | stan::model::index_uni(grpidx), 14340 | stan::model::index_multi( 14341 | stan::model::rvalue(obsidx, "obsidx", 14342 | stan::model::index_min_max(1, 14343 | stan::model::rvalue(Nobs, "Nobs", 14344 | stan::model::index_uni(mm)))))), 14345 | stan::model::rvalue(Sigma, "Sigma", 14346 | stan::model::index_uni(grpidx), 14347 | stan::model::index_multi( 14348 | stan::model::rvalue(obsidx, "obsidx", 14349 | stan::model::index_min_max(1, 14350 | stan::model::rvalue(Nobs, "Nobs", 14351 | stan::model::index_uni(mm))))), 14352 | stan::model::index_multi( 14353 | stan::model::rvalue(obsidx, "obsidx", 14354 | stan::model::index_min_max(1, 14355 | stan::model::rvalue(Nobs, "Nobs", 14356 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14332:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14332 | lp_accum__.add(stan::math::multi_normal_lpdf( 14333 | stan::model::rvalue(YXstar, "YXstar", 14334 | stan::model::index_min_max(r1, r2), 14335 | stan::model::index_min_max(1, 14336 | stan::model::rvalue(Nobs, "Nobs", 14337 | stan::model::index_uni(mm)))), 14338 | stan::model::rvalue(Mu, "Mu", 14339 | stan::model::index_uni(grpidx), 14340 | stan::model::index_multi( 14341 | stan::model::rvalue(obsidx, "obsidx", 14342 | stan::model::index_min_max(1, 14343 | stan::model::rvalue(Nobs, "Nobs", 14344 | stan::model::index_uni(mm)))))), 14345 | stan::model::rvalue(Sigma, "Sigma", 14346 | stan::model::index_uni(grpidx), 14347 | stan::model::index_multi( 14348 | stan::model::rvalue(obsidx, "obsidx", 14349 | stan::model::index_min_max(1, 14350 | stan::model::rvalue(Nobs, "Nobs", 14351 | stan::model::index_uni(mm))))), 14352 | stan::model::index_multi( 14353 | stan::model::rvalue(obsidx, "obsidx", 14354 | stan::model::index_min_max(1, 14355 | stan::model::rvalue(Nobs, "Nobs", 14356 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14332:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14332 | lp_accum__.add(stan::math::multi_normal_lpdf( 14333 | stan::model::rvalue(YXstar, "YXstar", 14334 | stan::model::index_min_max(r1, r2), 14335 | stan::model::index_min_max(1, 14336 | stan::model::rvalue(Nobs, "Nobs", 14337 | stan::model::index_uni(mm)))), 14338 | stan::model::rvalue(Mu, "Mu", 14339 | stan::model::index_uni(grpidx), 14340 | stan::model::index_multi( 14341 | stan::model::rvalue(obsidx, "obsidx", 14342 | stan::model::index_min_max(1, 14343 | stan::model::rvalue(Nobs, "Nobs", 14344 | stan::model::index_uni(mm)))))), 14345 | stan::model::rvalue(Sigma, "Sigma", 14346 | stan::model::index_uni(grpidx), 14347 | stan::model::index_multi( 14348 | stan::model::rvalue(obsidx, "obsidx", 14349 | stan::model::index_min_max(1, 14350 | stan::model::rvalue(Nobs, "Nobs", 14351 | stan::model::index_uni(mm))))), 14352 | stan::model::index_multi( 14353 | stan::model::rvalue(obsidx, "obsidx", 14354 | stan::model::index_min_max(1, 14355 | stan::model::rvalue(Nobs, "Nobs", 14356 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, 2>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseUnaryOp, -1, 1>&>(const Eigen::Matrix, -1, 1>&)::::, const Eigen::Matrix, -1, 1> >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14332:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14332 | lp_accum__.add(stan::math::multi_normal_lpdf( 14333 | stan::model::rvalue(YXstar, "YXstar", 14334 | stan::model::index_min_max(r1, r2), 14335 | stan::model::index_min_max(1, 14336 | stan::model::rvalue(Nobs, "Nobs", 14337 | stan::model::index_uni(mm)))), 14338 | stan::model::rvalue(Mu, "Mu", 14339 | stan::model::index_uni(grpidx), 14340 | stan::model::index_multi( 14341 | stan::model::rvalue(obsidx, "obsidx", 14342 | stan::model::index_min_max(1, 14343 | stan::model::rvalue(Nobs, "Nobs", 14344 | stan::model::index_uni(mm)))))), 14345 | stan::model::rvalue(Sigma, "Sigma", 14346 | stan::model::index_uni(grpidx), 14347 | stan::model::index_multi( 14348 | stan::model::rvalue(obsidx, "obsidx", 14349 | stan::model::index_min_max(1, 14350 | stan::model::rvalue(Nobs, "Nobs", 14351 | stan::model::index_uni(mm))))), 14352 | stan::model::index_multi( 14353 | stan::model::rvalue(obsidx, "obsidx", 14354 | stan::model::index_min_max(1, 14355 | stan::model::rvalue(Nobs, "Nobs", 14356 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4492:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4492:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4492:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, false> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, false>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:268:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/Memory.h:639:76: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const true_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 639 | bool MapExternalBuffer = nested_eval::Evaluate && Xpr::MaxSizeAtCompileTime==Dynamic | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]’ 329 | internal::outer_product_selector_run(dst, lhs, rhs, sub(), is_row_major()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>]’ 178 | generic_product_impl::subTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:293:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const true_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 293 | func(dst.row(i), lhsEval.coeff(i,Index(0)) * actual_rhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16224:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16224 | stan::math::log_determinant( 16225 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16224:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16224 | stan::math::log_determinant( 16225 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47: required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::MatrixXd = Eigen::Matrix]’ 24 | Eigen::LLT llt_of_S = S.llt(); | ~~~~~^~ stanExports_stanmarg.h:17013:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17013 | stan::math::wishart_rng( 17014 | (stan::model::rvalue(N, "N", stan::model::index_uni(g)) - 1), 17015 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)), 17016 | base_rng__), "assigning variable Sigma_rep_sat", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47: required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::MatrixXd = Eigen::Matrix]’ 24 | Eigen::LLT llt_of_S = S.llt(); | ~~~~~^~ stanExports_stanmarg.h:17013:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17013 | stan::math::wishart_rng( 17014 | (stan::model::rvalue(N, "N", stan::model::index_uni(g)) - 1), 17015 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)), 17016 | base_rng__), "assigning variable Sigma_rep_sat", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47: required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::MatrixXd = Eigen::Matrix]’ 24 | Eigen::LLT llt_of_S = S.llt(); | ~~~~~^~ stanExports_stanmarg.h:17013:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17013 | stan::math::wishart_rng( 17014 | (stan::model::rvalue(N, "N", stan::model::index_uni(g)) - 1), 17015 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)), 17016 | base_rng__), "assigning variable Sigma_rep_sat", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Matrix; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:17260:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17260 | stan::math::tcrossprod( 17261 | stan::math::to_matrix( 17262 | stan::math::subtract( 17263 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17264 | stan::model::index_uni(ii)), 17265 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17266 | stan::model::index_uni(clusidx)))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Matrix; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:17260:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17260 | stan::math::tcrossprod( 17261 | stan::math::to_matrix( 17262 | stan::math::subtract( 17263 | stan::model::rvalue(YXstar_rep, "YXstar_rep", 17264 | stan::model::index_uni(ii)), 17265 | stan::model::rvalue(mean_d_rep, "mean_d_rep", 17266 | stan::model::index_uni(clusidx)))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from ‘stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]’ 18 | return std::forward(a); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 27 | const auto& M_ref = to_ref(M); | ~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from ‘stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]’ 18 | return std::forward(a); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 27 | const auto& M_ref = to_ref(M); | ~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from ‘stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]’ 18 | return std::forward(a); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 27 | const auto& M_ref = to_ref(M); | ~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Transpose >; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from ‘stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]’ 18 | return std::forward(a); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 27 | const auto& M_ref = to_ref(M); | ~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 150 | Matrix triangularBuffer(a); | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 123 | Base::operator=(a); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 68 | *this = other; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0: required from ‘stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix; typename stan::plain_type::type = Eigen::Matrix]’ 722 | : val_(x), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/var.hpp:366:0: required from ‘stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]’ 366 | var_value(S&& x) : vi_(new vari_type(std::forward(x), false)) {} // NOLINT /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 27 | arena_t res = arena_L_val.template triangularView() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 123 | Base::operator=(a); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 68 | *this = other; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0: required from ‘stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix; typename stan::plain_type::type = Eigen::Matrix]’ 722 | : val_(x), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/var.hpp:366:0: required from ‘stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]’ 366 | var_value(S&& x) : vi_(new vari_type(std::forward(x), false)) {} // NOLINT /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 27 | arena_t res = arena_L_val.template triangularView() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 123 | Base::operator=(a); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 68 | *this = other; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0: required from ‘stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix; typename stan::plain_type::type = Eigen::Matrix]’ 722 | : val_(x), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/var.hpp:366:0: required from ‘stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]’ 366 | var_value(S&& x) : vi_(new vari_type(std::forward(x), false)) {} // NOLINT /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 27 | arena_t res = arena_L_val.template triangularView() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 153 | triangularBuffer.diagonal().setZero(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 123 | Base::operator=(a); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 68 | *this = other; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0: required from ‘stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix; typename stan::plain_type::type = Eigen::Matrix]’ 722 | : val_(x), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/var.hpp:366:0: required from ‘stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]’ 366 | var_value(S&& x) : vi_(new vari_type(std::forward(x), false)) {} // NOLINT /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 27 | arena_t res = arena_L_val.template triangularView() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 37 | _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 40 | _Hk = Hupd * _Hk * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 40 | _Hk = Hupd * _Hk * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 38 | arena_t res = arena_A_val * arena_B_val; stanExports_stanmarg.h:13546:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13546 | stan::math::multiply( 13547 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13548 | stan::model::index_uni(g)), 13549 | stan::model::rvalue(Alpha, "Alpha", 13550 | stan::model::index_uni(g), 13551 | stan::model::index_min_max(1, m), 13552 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 57 | arena_t res = arena_A * arena_B.val_op(); stanExports_stanmarg.h:13546:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13546 | stan::math::multiply( 13547 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13548 | stan::model::index_uni(g)), 13549 | stan::model::rvalue(Alpha, "Alpha", 13550 | stan::model::index_uni(g), 13551 | stan::model::index_min_max(1, m), 13552 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 68 | arena_t res = arena_A.val_op() * arena_B; stanExports_stanmarg.h:13546:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13546 | stan::math::multiply( 13547 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13548 | stan::model::index_uni(g)), 13549 | stan::model::rvalue(Alpha, "Alpha", 13550 | stan::model::index_uni(g), 13551 | stan::model::index_min_max(1, m), 13552 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:43: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]’ 379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>; U = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Rhs = Eigen::Transpose, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]’ 379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]’ 366 | dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>; U = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>; U = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4492:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4492:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4492:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4492:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >; Dest = Eigen::Transpose >; typename Dest::Scalar = double]’ 379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4492:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4492:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4492:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4492:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4492:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4492:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15659:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15659 | stan::math::quad_form_sym( 15660 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15661 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15659:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15659 | stan::math::quad_form_sym( 15660 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15661 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15701:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15701 | stan::math::quad_form_sym( 15702 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15703 | stan::math::transpose( 15704 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15705 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from ‘Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 22 | res_map = matrix; | ~~~~~~~~^~~~~~~~ stanExports_stanmarg.h:15717:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15717 | stan::math::to_vector( 15718 | stan::math::multiply( 15719 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15720 | stan::model::index_uni(g)), 15721 | stan::model::rvalue(Alpha, "Alpha", 15722 | stan::model::index_uni(g), 15723 | stan::model::index_min_max(1, m), 15724 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16224:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16224 | stan::math::log_determinant( 16225 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16224:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16224 | stan::math::log_determinant( 16225 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16224:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16224 | stan::math::log_determinant( 16225 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> > >, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> > >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4235:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4235 | stan::math::crossprod( 4236 | stan::model::rvalue(YXfull, "YXfull", 4237 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17751:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17751 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17752 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4235:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4235 | stan::math::crossprod( 4236 | stan::model::rvalue(YXfull, "YXfull", 4237 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17751:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17751 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17752 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::Product, Eigen::Matrix, 0>; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3262:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3262 | stan::model::assign(Sigma_yz_zi, 3263 | stan::math::multiply(Sigma_yz, Sigma_zz_inv), 3264 | "assigning variable Sigma_yz_zi"); stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::Product, Eigen::Matrix, 0>; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3262:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3262 | stan::model::assign(Sigma_yz_zi, 3263 | stan::math::multiply(Sigma_yz, Sigma_zz_inv), 3264 | "assigning variable Sigma_yz_zi"); stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > > >, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > > >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block > > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block > > >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block > > >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block > > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose >; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator > >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose >; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:42: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18414:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18414 | -stan::math::multi_normal_lpdf( 18415 | stan::model::rvalue(YXstar, "YXstar", 18416 | stan::model::index_uni(jj), 18417 | stan::model::index_multi( 18418 | stan::model::rvalue(xdatidx, "xdatidx", 18419 | stan::model::index_min_max(1, 18420 | stan::model::rvalue(Nx, "Nx", 18421 | stan::model::index_uni(mm)))))), 18422 | stan::model::rvalue(Mu, "Mu", 18423 | stan::model::index_uni(grpidx), 18424 | stan::model::index_multi( 18425 | stan::model::rvalue(xidx, "xidx", 18426 | stan::model::index_min_max(1, 18427 | stan::model::rvalue(Nx, "Nx", 18428 | stan::model::index_uni(mm)))))), 18429 | stan::model::rvalue(Sigma, "Sigma", 18430 | stan::model::index_uni(grpidx), 18431 | stan::model::index_multi( 18432 | stan::model::rvalue(xidx, "xidx", 18433 | stan::model::index_min_max(1, 18434 | stan::model::rvalue(Nx, "Nx", 18435 | stan::model::index_uni(mm))))), 18436 | stan::model::index_multi( 18437 | stan::model::rvalue(xidx, "xidx", 18438 | stan::model::index_min_max(1, 18439 | stan::model::rvalue(Nx, "Nx", 18440 | stan::model::index_uni(mm)))))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:42: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18414:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18414 | -stan::math::multi_normal_lpdf( 18415 | stan::model::rvalue(YXstar, "YXstar", 18416 | stan::model::index_uni(jj), 18417 | stan::model::index_multi( 18418 | stan::model::rvalue(xdatidx, "xdatidx", 18419 | stan::model::index_min_max(1, 18420 | stan::model::rvalue(Nx, "Nx", 18421 | stan::model::index_uni(mm)))))), 18422 | stan::model::rvalue(Mu, "Mu", 18423 | stan::model::index_uni(grpidx), 18424 | stan::model::index_multi( 18425 | stan::model::rvalue(xidx, "xidx", 18426 | stan::model::index_min_max(1, 18427 | stan::model::rvalue(Nx, "Nx", 18428 | stan::model::index_uni(mm)))))), 18429 | stan::model::rvalue(Sigma, "Sigma", 18430 | stan::model::index_uni(grpidx), 18431 | stan::model::index_multi( 18432 | stan::model::rvalue(xidx, "xidx", 18433 | stan::model::index_min_max(1, 18434 | stan::model::rvalue(Nx, "Nx", 18435 | stan::model::index_uni(mm))))), 18436 | stan::model::index_multi( 18437 | stan::model::rvalue(xidx, "xidx", 18438 | stan::model::index_min_max(1, 18439 | stan::model::rvalue(Nx, "Nx", 18440 | stan::model::index_uni(mm)))))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 5; bool Conjugate = false]’ 125 | Map >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:42: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18414:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18414 | -stan::math::multi_normal_lpdf( 18415 | stan::model::rvalue(YXstar, "YXstar", 18416 | stan::model::index_uni(jj), 18417 | stan::model::index_multi( 18418 | stan::model::rvalue(xdatidx, "xdatidx", 18419 | stan::model::index_min_max(1, 18420 | stan::model::rvalue(Nx, "Nx", 18421 | stan::model::index_uni(mm)))))), 18422 | stan::model::rvalue(Mu, "Mu", 18423 | stan::model::index_uni(grpidx), 18424 | stan::model::index_multi( 18425 | stan::model::rvalue(xidx, "xidx", 18426 | stan::model::index_min_max(1, 18427 | stan::model::rvalue(Nx, "Nx", 18428 | stan::model::index_uni(mm)))))), 18429 | stan::model::rvalue(Sigma, "Sigma", 18430 | stan::model::index_uni(grpidx), 18431 | stan::model::index_multi( 18432 | stan::model::rvalue(xidx, "xidx", 18433 | stan::model::index_min_max(1, 18434 | stan::model::rvalue(Nx, "Nx", 18435 | stan::model::index_uni(mm))))), 18436 | stan::model::index_multi( 18437 | stan::model::rvalue(xidx, "xidx", 18438 | stan::model::index_min_max(1, 18439 | stan::model::rvalue(Nx, "Nx", 18440 | stan::model::index_uni(mm)))))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:42: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18414:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18414 | -stan::math::multi_normal_lpdf( 18415 | stan::model::rvalue(YXstar, "YXstar", 18416 | stan::model::index_uni(jj), 18417 | stan::model::index_multi( 18418 | stan::model::rvalue(xdatidx, "xdatidx", 18419 | stan::model::index_min_max(1, 18420 | stan::model::rvalue(Nx, "Nx", 18421 | stan::model::index_uni(mm)))))), 18422 | stan::model::rvalue(Mu, "Mu", 18423 | stan::model::index_uni(grpidx), 18424 | stan::model::index_multi( 18425 | stan::model::rvalue(xidx, "xidx", 18426 | stan::model::index_min_max(1, 18427 | stan::model::rvalue(Nx, "Nx", 18428 | stan::model::index_uni(mm)))))), 18429 | stan::model::rvalue(Sigma, "Sigma", 18430 | stan::model::index_uni(grpidx), 18431 | stan::model::index_multi( 18432 | stan::model::rvalue(xidx, "xidx", 18433 | stan::model::index_min_max(1, 18434 | stan::model::rvalue(Nx, "Nx", 18435 | stan::model::index_uni(mm))))), 18436 | stan::model::index_multi( 18437 | stan::model::rvalue(xidx, "xidx", 18438 | stan::model::index_min_max(1, 18439 | stan::model::rvalue(Nx, "Nx", 18440 | stan::model::index_uni(mm)))))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:42: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18414:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18414 | -stan::math::multi_normal_lpdf( 18415 | stan::model::rvalue(YXstar, "YXstar", 18416 | stan::model::index_uni(jj), 18417 | stan::model::index_multi( 18418 | stan::model::rvalue(xdatidx, "xdatidx", 18419 | stan::model::index_min_max(1, 18420 | stan::model::rvalue(Nx, "Nx", 18421 | stan::model::index_uni(mm)))))), 18422 | stan::model::rvalue(Mu, "Mu", 18423 | stan::model::index_uni(grpidx), 18424 | stan::model::index_multi( 18425 | stan::model::rvalue(xidx, "xidx", 18426 | stan::model::index_min_max(1, 18427 | stan::model::rvalue(Nx, "Nx", 18428 | stan::model::index_uni(mm)))))), 18429 | stan::model::rvalue(Sigma, "Sigma", 18430 | stan::model::index_uni(grpidx), 18431 | stan::model::index_multi( 18432 | stan::model::rvalue(xidx, "xidx", 18433 | stan::model::index_min_max(1, 18434 | stan::model::rvalue(Nx, "Nx", 18435 | stan::model::index_uni(mm))))), 18436 | stan::model::index_multi( 18437 | stan::model::rvalue(xidx, "xidx", 18438 | stan::model::index_min_max(1, 18439 | stan::model::rvalue(Nx, "Nx", 18440 | stan::model::index_uni(mm)))))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:42: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18414:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18414 | -stan::math::multi_normal_lpdf( 18415 | stan::model::rvalue(YXstar, "YXstar", 18416 | stan::model::index_uni(jj), 18417 | stan::model::index_multi( 18418 | stan::model::rvalue(xdatidx, "xdatidx", 18419 | stan::model::index_min_max(1, 18420 | stan::model::rvalue(Nx, "Nx", 18421 | stan::model::index_uni(mm)))))), 18422 | stan::model::rvalue(Mu, "Mu", 18423 | stan::model::index_uni(grpidx), 18424 | stan::model::index_multi( 18425 | stan::model::rvalue(xidx, "xidx", 18426 | stan::model::index_min_max(1, 18427 | stan::model::rvalue(Nx, "Nx", 18428 | stan::model::index_uni(mm)))))), 18429 | stan::model::rvalue(Sigma, "Sigma", 18430 | stan::model::index_uni(grpidx), 18431 | stan::model::index_multi( 18432 | stan::model::rvalue(xidx, "xidx", 18433 | stan::model::index_min_max(1, 18434 | stan::model::rvalue(Nx, "Nx", 18435 | stan::model::index_uni(mm))))), 18436 | stan::model::index_multi( 18437 | stan::model::rvalue(xidx, "xidx", 18438 | stan::model::index_min_max(1, 18439 | stan::model::rvalue(Nx, "Nx", 18440 | stan::model::index_uni(mm)))))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:42: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18414:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18414 | -stan::math::multi_normal_lpdf( 18415 | stan::model::rvalue(YXstar, "YXstar", 18416 | stan::model::index_uni(jj), 18417 | stan::model::index_multi( 18418 | stan::model::rvalue(xdatidx, "xdatidx", 18419 | stan::model::index_min_max(1, 18420 | stan::model::rvalue(Nx, "Nx", 18421 | stan::model::index_uni(mm)))))), 18422 | stan::model::rvalue(Mu, "Mu", 18423 | stan::model::index_uni(grpidx), 18424 | stan::model::index_multi( 18425 | stan::model::rvalue(xidx, "xidx", 18426 | stan::model::index_min_max(1, 18427 | stan::model::rvalue(Nx, "Nx", 18428 | stan::model::index_uni(mm)))))), 18429 | stan::model::rvalue(Sigma, "Sigma", 18430 | stan::model::index_uni(grpidx), 18431 | stan::model::index_multi( 18432 | stan::model::rvalue(xidx, "xidx", 18433 | stan::model::index_min_max(1, 18434 | stan::model::rvalue(Nx, "Nx", 18435 | stan::model::index_uni(mm))))), 18436 | stan::model::index_multi( 18437 | stan::model::rvalue(xidx, "xidx", 18438 | stan::model::index_min_max(1, 18439 | stan::model::rvalue(Nx, "Nx", 18440 | stan::model::index_uni(mm)))))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’ 78 | rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map >(rhs+s,k))).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:42: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18414:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18414 | -stan::math::multi_normal_lpdf( 18415 | stan::model::rvalue(YXstar, "YXstar", 18416 | stan::model::index_uni(jj), 18417 | stan::model::index_multi( 18418 | stan::model::rvalue(xdatidx, "xdatidx", 18419 | stan::model::index_min_max(1, 18420 | stan::model::rvalue(Nx, "Nx", 18421 | stan::model::index_uni(mm)))))), 18422 | stan::model::rvalue(Mu, "Mu", 18423 | stan::model::index_uni(grpidx), 18424 | stan::model::index_multi( 18425 | stan::model::rvalue(xidx, "xidx", 18426 | stan::model::index_min_max(1, 18427 | stan::model::rvalue(Nx, "Nx", 18428 | stan::model::index_uni(mm)))))), 18429 | stan::model::rvalue(Sigma, "Sigma", 18430 | stan::model::index_uni(grpidx), 18431 | stan::model::index_multi( 18432 | stan::model::rvalue(xidx, "xidx", 18433 | stan::model::index_min_max(1, 18434 | stan::model::rvalue(Nx, "Nx", 18435 | stan::model::index_uni(mm))))), 18436 | stan::model::index_multi( 18437 | stan::model::rvalue(xidx, "xidx", 18438 | stan::model::index_min_max(1, 18439 | stan::model::rvalue(Nx, "Nx", 18440 | stan::model::index_uni(mm)))))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from ‘stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]’ 18 | return std::forward(a); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 27 | const auto& M_ref = to_ref(M); | ~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from ‘stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]’ 18 | return std::forward(a); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 27 | const auto& M_ref = to_ref(M); | ~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, Eigen::Transpose >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]’ 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from ‘Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 145 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 31 | arena_L.adj() += ((res.adj().transpose() + res.adj()) 32 | * arena_L_val.template triangularView()) 33 | .template triangularView(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op]’ 856 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::TriangularShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from ‘Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::TriangularView, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 145 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 31 | arena_L.adj() += ((res.adj().transpose() + res.adj()) 32 | * arena_L_val.template triangularView()) 33 | .template triangularView(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose > >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Transpose > >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:29:18: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 29 | return M_ref * M_ref.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:17927:0: required from here 17927 | stan::math::divide(stan::math::crossprod(YXsmat), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 44 | arena_B.adj() += arena_A_val.transpose() * res.adj_op(); stanExports_stanmarg.h:13546:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13546 | stan::math::multiply( 13547 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13548 | stan::model::index_uni(g)), 13549 | stan::model::rvalue(Alpha, "Alpha", 13550 | stan::model::index_uni(g), 13551 | stan::model::index_min_max(1, m), 13552 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ 366 | dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 68 | arena_t res = arena_A.val_op() * arena_B; stanExports_stanmarg.h:13546:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13546 | stan::math::multiply( 13547 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13548 | stan::model::index_uni(g)), 13549 | stan::model::rvalue(Alpha, "Alpha", 13550 | stan::model::index_uni(g), 13551 | stan::model::index_min_max(1, m), 13552 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Matrix; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15659:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15659 | stan::math::quad_form_sym( 15660 | stan::model::rvalue(Psi_r, "Psi_r", stan::model::index_uni(g)), 15661 | stan::model::rvalue(Psi_sd, "Psi_sd", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:442:0: required from ‘void stan::model::assign(Mat1&&, Mat2&&, const char*, index_min_max, index_min_max) [with Mat1 = Eigen::Matrix&; Mat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >; stan::require_dense_dynamic_t* = 0]’ 442 | internal::assign_impl( 443 | x.block(row_idx.min_ - 1, col_idx.min_ - 1, row_size, col_size), y, 444 | name); stanExports_stanmarg.h:4425:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix; T4__ = double; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4425 | stan::model::assign(out, 4426 | stan::math::subtract( 4427 | stan::model::rvalue(Sigmainv, "Sigmainv", 4428 | stan::model::index_multi( 4429 | stan::model::rvalue(obsidx, "obsidx", 4430 | stan::model::index_min_max(1, Nobs))), 4431 | stan::model::index_multi( 4432 | stan::model::rvalue(obsidx, "obsidx", 4433 | stan::model::index_min_max(1, Nobs)))), 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", 4436 | stan::model::index_min_max(1, Nobs), 4437 | stan::model::index_min_max(1, Nobs)); stanExports_stanmarg.h:16232:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16232 | sig_inv_update( 16233 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 16234 | stan::model::index_uni( 16235 | stan::model::rvalue(grpnum, "grpnum", 16236 | stan::model::index_uni(patt)))), 16237 | stan::model::rvalue(Obsvar, "Obsvar", 16238 | stan::model::index_uni(patt), stan::model::index_omni()), 16239 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 16240 | (p + q), 16241 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 16242 | stan::model::index_uni( 16243 | stan::model::rvalue(grpnum, "grpnum", 16244 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:442:0: required from ‘void stan::model::assign(Mat1&&, Mat2&&, const char*, index_min_max, index_min_max) [with Mat1 = Eigen::Matrix&; Mat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >; stan::require_dense_dynamic_t* = 0]’ 442 | internal::assign_impl( 443 | x.block(row_idx.min_ - 1, col_idx.min_ - 1, row_size, col_size), y, 444 | name); stanExports_stanmarg.h:4425:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix; T4__ = double; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4425 | stan::model::assign(out, 4426 | stan::math::subtract( 4427 | stan::model::rvalue(Sigmainv, "Sigmainv", 4428 | stan::model::index_multi( 4429 | stan::model::rvalue(obsidx, "obsidx", 4430 | stan::model::index_min_max(1, Nobs))), 4431 | stan::model::index_multi( 4432 | stan::model::rvalue(obsidx, "obsidx", 4433 | stan::model::index_min_max(1, Nobs)))), 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", 4436 | stan::model::index_min_max(1, Nobs), 4437 | stan::model::index_min_max(1, Nobs)); stanExports_stanmarg.h:16232:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16232 | sig_inv_update( 16233 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 16234 | stan::model::index_uni( 16235 | stan::model::rvalue(grpnum, "grpnum", 16236 | stan::model::index_uni(patt)))), 16237 | stan::model::rvalue(Obsvar, "Obsvar", 16238 | stan::model::index_uni(patt), stan::model::index_omni()), 16239 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 16240 | (p + q), 16241 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 16242 | stan::model::index_uni( 16243 | stan::model::rvalue(grpnum, "grpnum", 16244 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47: required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::MatrixXd = Eigen::Matrix]’ 24 | Eigen::LLT llt_of_S = S.llt(); | ~~~~~^~ stanExports_stanmarg.h:17013:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17013 | stan::math::wishart_rng( 17014 | (stan::model::rvalue(N, "N", stan::model::index_uni(g)) - 1), 17015 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)), 17016 | base_rng__), "assigning variable Sigma_rep_sat", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47: required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::MatrixXd = Eigen::Matrix]’ 24 | Eigen::LLT llt_of_S = S.llt(); | ~~~~~^~ stanExports_stanmarg.h:17013:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17013 | stan::math::wishart_rng( 17014 | (stan::model::rvalue(N, "N", stan::model::index_uni(g)) - 1), 17015 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)), 17016 | base_rng__), "assigning variable Sigma_rep_sat", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47: required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::MatrixXd = Eigen::Matrix]’ 24 | Eigen::LLT llt_of_S = S.llt(); | ~~~~~^~ stanExports_stanmarg.h:17013:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17013 | stan::math::wishart_rng( 17014 | (stan::model::rvalue(N, "N", stan::model::index_uni(g)) - 1), 17015 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)), 17016 | base_rng__), "assigning variable Sigma_rep_sat", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Transpose, -1, -1, false> > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, -1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, -1, -1, false> > >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4235:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4235 | stan::math::crossprod( 4236 | stan::model::rvalue(YXfull, "YXfull", 4237 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17751:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17751 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17752 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::Product, Eigen::Matrix, 0>; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3262:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3262 | stan::model::assign(Sigma_yz_zi, 3263 | stan::math::multiply(Sigma_yz, Sigma_zz_inv), 3264 | "assigning variable Sigma_yz_zi"); stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block > > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block > > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block > > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block > > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block > > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose > > >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Transpose >; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:42: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18414:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18414 | -stan::math::multi_normal_lpdf( 18415 | stan::model::rvalue(YXstar, "YXstar", 18416 | stan::model::index_uni(jj), 18417 | stan::model::index_multi( 18418 | stan::model::rvalue(xdatidx, "xdatidx", 18419 | stan::model::index_min_max(1, 18420 | stan::model::rvalue(Nx, "Nx", 18421 | stan::model::index_uni(mm)))))), 18422 | stan::model::rvalue(Mu, "Mu", 18423 | stan::model::index_uni(grpidx), 18424 | stan::model::index_multi( 18425 | stan::model::rvalue(xidx, "xidx", 18426 | stan::model::index_min_max(1, 18427 | stan::model::rvalue(Nx, "Nx", 18428 | stan::model::index_uni(mm)))))), 18429 | stan::model::rvalue(Sigma, "Sigma", 18430 | stan::model::index_uni(grpidx), 18431 | stan::model::index_multi( 18432 | stan::model::rvalue(xidx, "xidx", 18433 | stan::model::index_min_max(1, 18434 | stan::model::rvalue(Nx, "Nx", 18435 | stan::model::index_uni(mm))))), 18436 | stan::model::index_multi( 18437 | stan::model::rvalue(xidx, "xidx", 18438 | stan::model::index_min_max(1, 18439 | stan::model::rvalue(Nx, "Nx", 18440 | stan::model::index_uni(mm)))))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 123 | Base::operator=(a); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 68 | *this = other; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0: required from ‘stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix; typename stan::plain_type::type = Eigen::Matrix]’ 722 | : val_(x), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/var.hpp:366:0: required from ‘stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]’ 366 | var_value(S&& x) : vi_(new vari_type(std::forward(x), false)) {} // NOLINT /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 27 | arena_t res = arena_L_val.template triangularView() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 123 | Base::operator=(a); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 68 | *this = other; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0: required from ‘stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix; typename stan::plain_type::type = Eigen::Matrix]’ 722 | : val_(x), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/var.hpp:366:0: required from ‘stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]’ 366 | var_value(S&& x) : vi_(new vari_type(std::forward(x), false)) {} // NOLINT /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 27 | arena_t res = arena_L_val.template triangularView() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 40 | _Hk = Hupd * _Hk * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 40 | _Hk = Hupd * _Hk * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 40 | _Hk = Hupd * _Hk * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 40 | _Hk = Hupd * _Hk * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:74: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector, -1, -1>, std::allocator, -1, -1> > >; bool Jacobian = true; LP = stan::math::var_value; Sizes = {int}; stan::require_std_vector_t* = 0; T = stan::math::var_value; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:12894:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12892 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 12893 | std::vector>, 12894 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 12895 | Psi_r_mat_1_3dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector, -1, -1>, std::allocator, -1, -1> > >; bool Jacobian = true; LP = stan::math::var_value; Sizes = {int}; stan::require_std_vector_t* = 0; T = stan::math::var_value; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:12894:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12892 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 12893 | std::vector>, 12894 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 12895 | Psi_r_mat_1_3dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 38 | arena_t res = arena_A_val * arena_B_val; stanExports_stanmarg.h:13546:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13546 | stan::math::multiply( 13547 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13548 | stan::model::index_uni(g)), 13549 | stan::model::rvalue(Alpha, "Alpha", 13550 | stan::model::index_uni(g), 13551 | stan::model::index_min_max(1, m), 13552 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 38 | arena_t res = arena_A_val * arena_B_val; stanExports_stanmarg.h:13546:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13546 | stan::math::multiply( 13547 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13548 | stan::model::index_uni(g)), 13549 | stan::model::rvalue(Alpha, "Alpha", 13550 | stan::model::index_uni(g), 13551 | stan::model::index_min_max(1, m), 13552 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 57 | arena_t res = arena_A * arena_B.val_op(); stanExports_stanmarg.h:13546:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13546 | stan::math::multiply( 13547 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13548 | stan::model::index_uni(g)), 13549 | stan::model::rvalue(Alpha, "Alpha", 13550 | stan::model::index_uni(g), 13551 | stan::model::index_min_max(1, m), 13552 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 68 | arena_t res = arena_A.val_op() * arena_B; stanExports_stanmarg.h:13546:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13546 | stan::math::multiply( 13547 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13548 | stan::model::index_uni(g)), 13549 | stan::model::rvalue(Alpha, "Alpha", 13550 | stan::model::index_uni(g), 13551 | stan::model::index_min_max(1, m), 13552 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 68 | arena_t res = arena_A.val_op() * arena_B; stanExports_stanmarg.h:13546:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13546 | stan::math::multiply( 13547 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13548 | stan::model::index_uni(g)), 13549 | stan::model::rvalue(Alpha, "Alpha", 13550 | stan::model::index_uni(g), 13551 | stan::model::index_min_max(1, m), 13552 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > > > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose > > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose > >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:88:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 88 | lp -= 0.5 * nu_ref * log_determinant_ldlt(ldlt_S); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4492:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4492:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15701:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15701 | stan::math::quad_form_sym( 15702 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15703 | stan::math::transpose( 15704 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15705 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15701:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15701 | stan::math::quad_form_sym( 15702 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15703 | stan::math::transpose( 15704 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15705 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15701:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15701 | stan::math::quad_form_sym( 15702 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15703 | stan::math::transpose( 15704 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15705 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/to_vector.hpp:22:11: required from ‘Eigen::Matrix::type, -1, 1> stan::math::to_vector(const EigMat&) [with EigMat = Eigen::Product, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; stan::require_eigen_t* = 0; typename stan::value_type::type = double]’ 22 | res_map = matrix; | ~~~~~~~~^~~~~~~~ stanExports_stanmarg.h:15717:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15717 | stan::math::to_vector( 15718 | stan::math::multiply( 15719 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15720 | stan::model::index_uni(g)), 15721 | stan::model::rvalue(Alpha, "Alpha", 15722 | stan::model::index_uni(g), 15723 | stan::model::index_min_max(1, m), 15724 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16224:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16224 | stan::math::log_determinant( 16225 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16224:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16224 | stan::math::log_determinant( 16225 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:442:0: required from ‘void stan::model::assign(Mat1&&, Mat2&&, const char*, index_min_max, index_min_max) [with Mat1 = Eigen::Matrix&; Mat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >; stan::require_dense_dynamic_t* = 0]’ 442 | internal::assign_impl( 443 | x.block(row_idx.min_ - 1, col_idx.min_ - 1, row_size, col_size), y, 444 | name); stanExports_stanmarg.h:4425:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix; T4__ = double; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4425 | stan::model::assign(out, 4426 | stan::math::subtract( 4427 | stan::model::rvalue(Sigmainv, "Sigmainv", 4428 | stan::model::index_multi( 4429 | stan::model::rvalue(obsidx, "obsidx", 4430 | stan::model::index_min_max(1, Nobs))), 4431 | stan::model::index_multi( 4432 | stan::model::rvalue(obsidx, "obsidx", 4433 | stan::model::index_min_max(1, Nobs)))), 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", 4436 | stan::model::index_min_max(1, Nobs), 4437 | stan::model::index_min_max(1, Nobs)); stanExports_stanmarg.h:16232:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16232 | sig_inv_update( 16233 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 16234 | stan::model::index_uni( 16235 | stan::model::rvalue(grpnum, "grpnum", 16236 | stan::model::index_uni(patt)))), 16237 | stan::model::rvalue(Obsvar, "Obsvar", 16238 | stan::model::index_uni(patt), stan::model::index_omni()), 16239 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 16240 | (p + q), 16241 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 16242 | stan::model::index_uni( 16243 | stan::model::rvalue(grpnum, "grpnum", 16244 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:4171:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4171 | stan::model::assign(T2p11, 4172 | stan::math::subtract(Sig11, 4173 | stan::math::multiply(stan::math::multiply(Sig12, S22inv), 4174 | stan::math::transpose(Sig12))), "assigning variable T2p11"); stanExports_stanmarg.h:17751:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17751 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17752 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:4171:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4171 | stan::model::assign(T2p11, 4172 | stan::math::subtract(Sig11, 4173 | stan::math::multiply(stan::math::multiply(Sig12, S22inv), 4174 | stan::math::transpose(Sig12))), "assigning variable T2p11"); stanExports_stanmarg.h:17751:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17751 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17752 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false> > >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false> > >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, -1, -1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4235:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4235 | stan::math::crossprod( 4236 | stan::model::rvalue(YXfull, "YXfull", 4237 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17751:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17751 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17752 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, -1, false> > >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false> > >, -1, 1, true>; Derived = Eigen::Block, -1, -1, false> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4235:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4235 | stan::math::crossprod( 4236 | stan::model::rvalue(YXfull, "YXfull", 4237 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17751:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17751 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17752 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:42: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18414:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18414 | -stan::math::multi_normal_lpdf( 18415 | stan::model::rvalue(YXstar, "YXstar", 18416 | stan::model::index_uni(jj), 18417 | stan::model::index_multi( 18418 | stan::model::rvalue(xdatidx, "xdatidx", 18419 | stan::model::index_min_max(1, 18420 | stan::model::rvalue(Nx, "Nx", 18421 | stan::model::index_uni(mm)))))), 18422 | stan::model::rvalue(Mu, "Mu", 18423 | stan::model::index_uni(grpidx), 18424 | stan::model::index_multi( 18425 | stan::model::rvalue(xidx, "xidx", 18426 | stan::model::index_min_max(1, 18427 | stan::model::rvalue(Nx, "Nx", 18428 | stan::model::index_uni(mm)))))), 18429 | stan::model::rvalue(Sigma, "Sigma", 18430 | stan::model::index_uni(grpidx), 18431 | stan::model::index_multi( 18432 | stan::model::rvalue(xidx, "xidx", 18433 | stan::model::index_min_max(1, 18434 | stan::model::rvalue(Nx, "Nx", 18435 | stan::model::index_uni(mm))))), 18436 | stan::model::index_multi( 18437 | stan::model::rvalue(xidx, "xidx", 18438 | stan::model::index_min_max(1, 18439 | stan::model::rvalue(Nx, "Nx", 18440 | stan::model::index_uni(mm)))))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:42: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18414:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18414 | -stan::math::multi_normal_lpdf( 18415 | stan::model::rvalue(YXstar, "YXstar", 18416 | stan::model::index_uni(jj), 18417 | stan::model::index_multi( 18418 | stan::model::rvalue(xdatidx, "xdatidx", 18419 | stan::model::index_min_max(1, 18420 | stan::model::rvalue(Nx, "Nx", 18421 | stan::model::index_uni(mm)))))), 18422 | stan::model::rvalue(Mu, "Mu", 18423 | stan::model::index_uni(grpidx), 18424 | stan::model::index_multi( 18425 | stan::model::rvalue(xidx, "xidx", 18426 | stan::model::index_min_max(1, 18427 | stan::model::rvalue(Nx, "Nx", 18428 | stan::model::index_uni(mm)))))), 18429 | stan::model::rvalue(Sigma, "Sigma", 18430 | stan::model::index_uni(grpidx), 18431 | stan::model::index_multi( 18432 | stan::model::rvalue(xidx, "xidx", 18433 | stan::model::index_min_max(1, 18434 | stan::model::rvalue(Nx, "Nx", 18435 | stan::model::index_uni(mm))))), 18436 | stan::model::index_multi( 18437 | stan::model::rvalue(xidx, "xidx", 18438 | stan::model::index_min_max(1, 18439 | stan::model::rvalue(Nx, "Nx", 18440 | stan::model::index_uni(mm)))))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:301:29: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from ‘stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]’ 18 | return std::forward(a); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 27 | const auto& M_ref = to_ref(M); | ~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 48 | arena_B.adj() += arena_A_val.transpose() * res_adj; stanExports_stanmarg.h:13546:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13546 | stan::math::multiply( 13547 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13548 | stan::model::index_uni(g)), 13549 | stan::model::rvalue(Alpha, "Alpha", 13550 | stan::model::index_uni(g), 13551 | stan::model::index_min_max(1, m), 13552 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 1, -1, true>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]’ 379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; U = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15701:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15701 | stan::math::quad_form_sym( 15702 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15703 | stan::math::transpose( 15704 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15705 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15701:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15701 | stan::math::quad_form_sym( 15702 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15703 | stan::math::transpose( 15704 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15705 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16224:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16224 | stan::math::log_determinant( 16225 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47: required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::MatrixXd = Eigen::Matrix]’ 24 | Eigen::LLT llt_of_S = S.llt(); | ~~~~~^~ stanExports_stanmarg.h:17013:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17013 | stan::math::wishart_rng( 17014 | (stan::model::rvalue(N, "N", stan::model::index_uni(g)) - 1), 17015 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)), 17016 | base_rng__), "assigning variable Sigma_rep_sat", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47: required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::MatrixXd = Eigen::Matrix]’ 24 | Eigen::LLT llt_of_S = S.llt(); | ~~~~~^~ stanExports_stanmarg.h:17013:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17013 | stan::math::wishart_rng( 17014 | (stan::model::rvalue(N, "N", stan::model::index_uni(g)) - 1), 17015 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)), 17016 | base_rng__), "assigning variable Sigma_rep_sat", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT::PlainObject> Eigen::MatrixBase::llt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 542 | return LLT(derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:24:47: required from ‘Eigen::MatrixXd stan::math::wishart_rng(double, const Eigen::MatrixXd&, RNG&) [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Eigen::MatrixXd = Eigen::Matrix]’ 24 | Eigen::LLT llt_of_S = S.llt(); | ~~~~~^~ stanExports_stanmarg.h:17013:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17013 | stan::math::wishart_rng( 17014 | (stan::model::rvalue(N, "N", stan::model::index_uni(g)) - 1), 17015 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g)), 17016 | base_rng__), "assigning variable Sigma_rep_sat", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, 0> >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:4182:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4182 | stan::model::assign(ymis, 4183 | stan::math::add( 4184 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx), 4185 | stan::model::index_multi( 4186 | stan::model::rvalue(obsidx, "obsidx", 4187 | stan::model::index_min_max( 4188 | (stan::model::rvalue(Nobs, "Nobs", 4189 | stan::model::index_uni(mm)) + 1), p)))), 4190 | stan::math::multiply(stan::math::multiply(Sig12, S22inv), 4191 | stan::math::subtract( 4192 | stan::model::rvalue(YXstar, "YXstar", 4193 | stan::model::index_uni(jj), 4194 | stan::model::index_min_max(1, 4195 | stan::model::rvalue(Nobs, "Nobs", 4196 | stan::model::index_uni(mm)))), 4197 | stan::model::rvalue(Mu, "Mu", 4198 | stan::model::index_uni(grpidx), 4199 | stan::model::index_multi( 4200 | stan::model::rvalue(obsidx, "obsidx", 4201 | stan::model::index_min_max(1, 4202 | stan::model::rvalue(Nobs, "Nobs", 4203 | stan::model::index_uni(mm))))))))), 4204 | "assigning variable ymis"); stanExports_stanmarg.h:17751:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17751 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17752 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::Product, Eigen::Matrix, 0>; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3262:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3262 | stan::model::assign(Sigma_yz_zi, 3263 | stan::math::multiply(Sigma_yz, Sigma_zz_inv), 3264 | "assigning variable Sigma_yz_zi"); stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::Product, Eigen::Matrix, 0>; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3262:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3262 | stan::model::assign(Sigma_yz_zi, 3263 | stan::math::multiply(Sigma_yz, Sigma_zz_inv), 3264 | "assigning variable Sigma_yz_zi"); stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 123 | Base::operator=(a); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 68 | *this = other; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0: required from ‘stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix; typename stan::plain_type::type = Eigen::Matrix]’ 722 | : val_(x), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/var.hpp:366:0: required from ‘stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]’ 366 | var_value(S&& x) : vi_(new vari_type(std::forward(x), false)) {} // NOLINT /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 27 | arena_t res = arena_L_val.template triangularView() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Derived = Eigen::Block, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 123 | Base::operator=(a); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 68 | *this = other; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0: required from ‘stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix; typename stan::plain_type::type = Eigen::Matrix]’ 722 | : val_(x), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/var.hpp:366:0: required from ‘stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]’ 366 | var_value(S&& x) : vi_(new vari_type(std::forward(x), false)) {} // NOLINT /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 27 | arena_t res = arena_L_val.template triangularView() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>& stan::math::arena_matrix::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 123 | Base::operator=(a); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0: required from ‘stan::math::arena_matrix::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t* = 0; MatrixType = Eigen::Matrix; typename std::enable_if::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix]’ 68 | *this = other; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0: required from ‘stan::math::vari_value::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type>::vari_value(const S&, bool) [with S = Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::type, typename stan::plain_type::type>, stan::is_eigen_dense_base >::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix; typename stan::plain_type::type = Eigen::Matrix]’ 722 | : val_(x), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/var.hpp:366:0: required from ‘stan::math::var_value::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_assignable_t* = 0; T = Eigen::Matrix; typename std::enable_if::value || stan::is_kernel_expression_and_not_scalar::value) && std::is_floating_point::type>::value)>::value, void>::type = void; typename stan::value_type::type = double]’ 366 | var_value(S&& x) : vi_(new vari_type(std::forward(x), false)) {} // NOLINT /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0: required from ‘auto stan::math::multiply_lower_tri_self_transpose(const T&) [with T = var_value >; stan::require_rev_matrix_t* = 0]’ 27 | arena_t res = arena_L_val.template triangularView() /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0: required from here 59 | return multiply_lower_tri_self_transpose(L); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; VectorT = Eigen::Matrix]’ 40 | _Hk = Hupd * _Hk * Hupd.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ 246 | Scalar B0fact = _qn.update(yk, sk, true); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0: required from ‘int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_stanmarg_namespace::model_stanmarg; bool jacobian = false]’ 117 | ret = bfgs.step(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:517:0: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ 517 | = stan::services::optimize::bfgs(model, *init_context_ptr, 518 | random_seed, id, init_radius, 519 | init_alpha, 520 | tol_obj, 521 | tol_rel_obj, 522 | tol_grad, 523 | tol_rel_grad, 524 | tol_param, 525 | num_iterations, 526 | save_iterations, 527 | refresh, 528 | interrupt, logger, 529 | init_writer, sample_writer); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1215:0: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1215 | ret = command(args, model_, holder, names_oi_tidx_, 1216 | fnames_oi_, base_rng); stanExports_stanmarg.cc:15:0: required from here 15 | .method("call_sampler", &rstan::stan_fit ::call_sampler) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:0: required from ‘auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix, -1, -1>; T2 = Eigen::VectorBlock, -1, -1>, -1, 1, true>, -1>; stan::require_all_matrix_t* = 0; stan::require_return_type_t* = 0; stan::require_not_row_and_col_vector_t* = 0]’ 57 | arena_t res = arena_A * arena_B.val_op(); stanExports_stanmarg.h:13546:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 13546 | stan::math::multiply( 13547 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 13548 | stan::model::index_uni(g)), 13549 | stan::model::rvalue(Alpha, "Alpha", 13550 | stan::model::index_uni(g), 13551 | stan::model::index_min_max(1, m), 13552 | stan::model::index_uni(1))))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:3296:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix, -1, -1>; T3__ = double; T9__ = Eigen::Matrix, -1, 1>; T10__ = Eigen::Matrix, -1, -1>; T11__ = Eigen::Matrix, -1, 1>; T12__ = Eigen::Matrix, -1, -1>; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 3296 | stan::math::crossprod( 3297 | stan::math::transpose( 3298 | stan::math::to_matrix( 3299 | stan::math::subtract( 3300 | stan::model::rvalue(mean_d, "mean_d", 3301 | stan::model::index_uni(clz)), Mu_full)))), stanExports_stanmarg.h:14183:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14183 | lp_accum__.add(twolevel_logdens( 14184 | stan::model::rvalue(mean_d, "mean_d", 14185 | stan::model::index_min_max(r3, r4)), 14186 | stan::model::rvalue(cov_d, "cov_d", 14187 | stan::model::index_min_max(r3, r4)), 14188 | stan::model::rvalue(S_PW, "S_PW", 14189 | stan::model::index_uni(grpidx)), 14190 | stan::model::rvalue(YX, "YX", 14191 | stan::model::index_min_max(rr1, rr2)), 14192 | stan::model::rvalue(nclus, "nclus", 14193 | stan::model::index_uni(grpidx), 14194 | stan::model::index_omni()), 14195 | stan::model::rvalue(cluster_size, 14196 | "cluster_size", 14197 | stan::model::index_min_max(r1, r2)), 14198 | stan::model::rvalue(cluster_sizes, 14199 | "cluster_sizes", 14200 | stan::model::index_min_max(r3, r4)), 14201 | stan::model::rvalue(ncluster_sizes, 14202 | "ncluster_sizes", 14203 | stan::model::index_uni(grpidx)), 14204 | stan::model::rvalue(cluster_size_ns, 14205 | "cluster_size_ns", 14206 | stan::model::index_min_max(r3, r4)), 14207 | stan::model::rvalue(Mu, "Mu", 14208 | stan::model::index_uni(grpidx)), 14209 | stan::model::rvalue(Sigma, "Sigma", 14210 | stan::model::index_uni(grpidx)), 14211 | stan::model::rvalue(Mu_c, "Mu_c", 14212 | stan::model::index_uni(grpidx)), 14213 | stan::model::rvalue(Sigma_c, "Sigma_c", 14214 | stan::model::index_uni(grpidx)), ov_idx1, 14215 | ov_idx2, within_idx, between_idx, both_idx, 14216 | p_tilde, N_within, N_between, N_both, pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14332:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14332 | lp_accum__.add(stan::math::multi_normal_lpdf( 14333 | stan::model::rvalue(YXstar, "YXstar", 14334 | stan::model::index_min_max(r1, r2), 14335 | stan::model::index_min_max(1, 14336 | stan::model::rvalue(Nobs, "Nobs", 14337 | stan::model::index_uni(mm)))), 14338 | stan::model::rvalue(Mu, "Mu", 14339 | stan::model::index_uni(grpidx), 14340 | stan::model::index_multi( 14341 | stan::model::rvalue(obsidx, "obsidx", 14342 | stan::model::index_min_max(1, 14343 | stan::model::rvalue(Nobs, "Nobs", 14344 | stan::model::index_uni(mm)))))), 14345 | stan::model::rvalue(Sigma, "Sigma", 14346 | stan::model::index_uni(grpidx), 14347 | stan::model::index_multi( 14348 | stan::model::rvalue(obsidx, "obsidx", 14349 | stan::model::index_min_max(1, 14350 | stan::model::rvalue(Nobs, "Nobs", 14351 | stan::model::index_uni(mm))))), 14352 | stan::model::index_multi( 14353 | stan::model::rvalue(obsidx, "obsidx", 14354 | stan::model::index_min_max(1, 14355 | stan::model::rvalue(Nobs, "Nobs", 14356 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4492:0: required from ‘stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> model_stanmarg_namespace::multi_normal_suff(const T0__&, const T1__&, const T2__&, const T3__&, const int&, std::ostream*) [with T0__ = Eigen::VectorBlock, -1>; T1__ = Eigen::Block, -1, -1, false>; T2__ = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T3__ = Eigen::Block, -1, -1>, -1, -1, false>; stan::require_all_t, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; stan::promote_args_t::type, typename stan::base_type::type, typename stan::base_type::type, typename stan::base_type::type> = stan::math::var_value; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4492 | stan::math::multiply(stan::math::subtract(xbar, Mu), 4493 | stan::math::transpose(stan::math::subtract(xbar, Mu)))))) stanExports_stanmarg.h:14393:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14393 | lp_accum__.add(multi_normal_suff( 14394 | stan::model::rvalue(YXbarstar, 14395 | "YXbarstar", stan::model::index_uni(mm), 14396 | stan::model::index_min_max(1, 14397 | stan::model::rvalue(Nobs, "Nobs", 14398 | stan::model::index_uni(mm)))), 14399 | stan::model::rvalue(Sstar, "Sstar", 14400 | stan::model::index_uni(mm), 14401 | stan::model::index_min_max(1, 14402 | stan::model::rvalue(Nobs, "Nobs", 14403 | stan::model::index_uni(mm))), 14404 | stan::model::index_min_max(1, 14405 | stan::model::rvalue(Nobs, "Nobs", 14406 | stan::model::index_uni(mm)))), 14407 | stan::model::rvalue(Mu, "Mu", 14408 | stan::model::index_uni(grpidx), 14409 | stan::model::index_multi( 14410 | stan::model::rvalue(obsidx, "obsidx", 14411 | stan::model::index_min_max(1, 14412 | stan::model::rvalue(Nobs, "Nobs", 14413 | stan::model::index_uni(mm)))))), 14414 | stan::model::rvalue(Sigmainv, "Sigmainv", 14415 | stan::model::index_uni(mm), 14416 | stan::model::index_min_max(1, 14417 | (stan::model::rvalue(Nobs, "Nobs", 14418 | stan::model::index_uni(mm)) + 1)), 14419 | stan::model::index_min_max(1, 14420 | (stan::model::rvalue(Nobs, "Nobs", 14421 | stan::model::index_uni(mm)) + 1))), 14422 | ((r2 - r1) + 1), pstream__)); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/log_determinant.hpp:27:31: required from ‘stan::value_type_t stan::math::log_determinant(const EigMat&) [with EigMat = Eigen::Matrix; stan::require_eigen_vt* = 0; stan::value_type_t = double]’ 27 | return m.colPivHouseholderQr().logAbsDeterminant(); | ~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:16224:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16224 | stan::math::log_determinant( 16225 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:442:0: required from ‘void stan::model::assign(Mat1&&, Mat2&&, const char*, index_min_max, index_min_max) [with Mat1 = Eigen::Matrix&; Mat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >; stan::require_dense_dynamic_t* = 0]’ 442 | internal::assign_impl( 443 | x.block(row_idx.min_ - 1, col_idx.min_ - 1, row_size, col_size), y, 444 | name); stanExports_stanmarg.h:4425:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix; T4__ = double; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4425 | stan::model::assign(out, 4426 | stan::math::subtract( 4427 | stan::model::rvalue(Sigmainv, "Sigmainv", 4428 | stan::model::index_multi( 4429 | stan::model::rvalue(obsidx, "obsidx", 4430 | stan::model::index_min_max(1, Nobs))), 4431 | stan::model::index_multi( 4432 | stan::model::rvalue(obsidx, "obsidx", 4433 | stan::model::index_min_max(1, Nobs)))), 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", 4436 | stan::model::index_min_max(1, Nobs), 4437 | stan::model::index_min_max(1, Nobs)); stanExports_stanmarg.h:16232:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16232 | sig_inv_update( 16233 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 16234 | stan::model::index_uni( 16235 | stan::model::rvalue(grpnum, "grpnum", 16236 | stan::model::index_uni(patt)))), 16237 | stan::model::rvalue(Obsvar, "Obsvar", 16238 | stan::model::index_uni(patt), stan::model::index_omni()), 16239 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 16240 | (p + q), 16241 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 16242 | stan::model::index_uni( 16243 | stan::model::rvalue(grpnum, "grpnum", 16244 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:442:0: required from ‘void stan::model::assign(Mat1&&, Mat2&&, const char*, index_min_max, index_min_max) [with Mat1 = Eigen::Matrix&; Mat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >; stan::require_dense_dynamic_t* = 0]’ 442 | internal::assign_impl( 443 | x.block(row_idx.min_ - 1, col_idx.min_ - 1, row_size, col_size), y, 444 | name); stanExports_stanmarg.h:4425:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix; T4__ = double; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4425 | stan::model::assign(out, 4426 | stan::math::subtract( 4427 | stan::model::rvalue(Sigmainv, "Sigmainv", 4428 | stan::model::index_multi( 4429 | stan::model::rvalue(obsidx, "obsidx", 4430 | stan::model::index_min_max(1, Nobs))), 4431 | stan::model::index_multi( 4432 | stan::model::rvalue(obsidx, "obsidx", 4433 | stan::model::index_min_max(1, Nobs)))), 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", 4436 | stan::model::index_min_max(1, Nobs), 4437 | stan::model::index_min_max(1, Nobs)); stanExports_stanmarg.h:16232:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16232 | sig_inv_update( 16233 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 16234 | stan::model::index_uni( 16235 | stan::model::rvalue(grpnum, "grpnum", 16236 | stan::model::index_uni(patt)))), 16237 | stan::model::rvalue(Obsvar, "Obsvar", 16238 | stan::model::index_uni(patt), stan::model::index_omni()), 16239 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 16240 | (p + q), 16241 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 16242 | stan::model::index_uni( 16243 | stan::model::rvalue(grpnum, "grpnum", 16244 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’ 78 | rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map >(rhs+s,k))).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 6]’ 71 | triangular_solve_vector | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 73 | ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:42: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18414:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18414 | -stan::math::multi_normal_lpdf( 18415 | stan::model::rvalue(YXstar, "YXstar", 18416 | stan::model::index_uni(jj), 18417 | stan::model::index_multi( 18418 | stan::model::rvalue(xdatidx, "xdatidx", 18419 | stan::model::index_min_max(1, 18420 | stan::model::rvalue(Nx, "Nx", 18421 | stan::model::index_uni(mm)))))), 18422 | stan::model::rvalue(Mu, "Mu", 18423 | stan::model::index_uni(grpidx), 18424 | stan::model::index_multi( 18425 | stan::model::rvalue(xidx, "xidx", 18426 | stan::model::index_min_max(1, 18427 | stan::model::rvalue(Nx, "Nx", 18428 | stan::model::index_uni(mm)))))), 18429 | stan::model::rvalue(Sigma, "Sigma", 18430 | stan::model::index_uni(grpidx), 18431 | stan::model::index_multi( 18432 | stan::model::rvalue(xidx, "xidx", 18433 | stan::model::index_min_max(1, 18434 | stan::model::rvalue(Nx, "Nx", 18435 | stan::model::index_uni(mm))))), 18436 | stan::model::index_multi( 18437 | stan::model::rvalue(xidx, "xidx", 18438 | stan::model::index_min_max(1, 18439 | stan::model::rvalue(Nx, "Nx", 18440 | stan::model::index_uni(mm)))))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, -1, -1, true>; Derived = Eigen::Block, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from ‘stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]’ 18 | return std::forward(a); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 27 | const auto& M_ref = to_ref(M); | ~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/to_ref.hpp:18:27: required from ‘stan::ref_type_t stan::math::to_ref(T&&) [with T = const Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >&; stan::ref_type_t = Eigen::Matrix]’ 18 | return std::forward(a); | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/tcrossprod.hpp:27:29: required from ‘Eigen::Matrix::type, T::RowsAtCompileTime, T::RowsAtCompileTime> stan::math::tcrossprod(const T&) [with T = Eigen::Transpose, Eigen::TriangularView >, 2>, 0> >; stan::require_eigen_vt* = 0; typename stan::value_type::type = double]’ 27 | const auto& M_ref = to_ref(M); | ~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Product, Eigen::TriangularView >, 2>, 0>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19: required from here 34 | return crossprod(B * llt_of_S.matrixU()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:644:39: required from ‘static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Matrix; MatrixType = Eigen::Matrix; SrcXprType = Eigen::Inverse > >; typename DstXprType::Scalar = double; typename Eigen::ColPivHouseholderQR::Scalar = double]’ 644 | dst = src.nestedExpression().solve(MatrixType::Identity(src.rows(), src.cols())); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/log_determinant.hpp:23:0: required from ‘stan::math::var stan::math::log_determinant(const T&) [with T = Eigen::Matrix, -1, -1>; stan::require_rev_matrix_t* = 0; var = var_value]’ 23 | auto arena_m_inv_transpose = to_arena(m_hh.inverse().transpose()); stanExports_stanmarg.h:14052:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14052 | stan::math::log_determinant( 14053 | stan::model::rvalue(Sigma, "Sigma", stan::model::index_uni(g))), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > > >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/wishart_lpdf.hpp:92:0: required from ‘stan::return_type_t stan::math::wishart_lpdf(const T_y&, const T_dof&, const T_scale&) [with bool propto = false; T_y = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; T_dof = int; T_scale = Eigen::Matrix, -1, -1>; stan::require_stan_scalar_t* = 0; stan::require_all_matrix_t* = 0; stan::return_type_t = var_value]’ 92 | lp -= 0.5 * trace(mdivide_left_ldlt(ldlt_S, W_ref)); stanExports_stanmarg.h:14235:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14235 | lp_accum__.add(stan::math::wishart_lpdf( 14236 | stan::math::multiply( 14237 | (stan::model::rvalue(N, "N", 14238 | stan::model::index_uni(g)) - 1), 14239 | stan::model::rvalue(Sstar, "Sstar", 14240 | stan::model::index_uni(g))), 14241 | (stan::model::rvalue(N, "N", 14242 | stan::model::index_uni(g)) - 1), 14243 | stan::model::rvalue(Sigma, "Sigma", 14244 | stan::model::index_uni(g)))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:39:10: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15701:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15701 | stan::math::quad_form_sym( 15702 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15703 | stan::math::transpose( 15704 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15705 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15701:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15701 | stan::math::quad_form_sym( 15702 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15703 | stan::math::transpose( 15704 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15705 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:4171:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4171 | stan::model::assign(T2p11, 4172 | stan::math::subtract(Sig11, 4173 | stan::math::multiply(stan::math::multiply(Sig12, S22inv), 4174 | stan::math::transpose(Sig12))), "assigning variable T2p11"); stanExports_stanmarg.h:17751:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17751 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17752 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:4171:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4171 | stan::model::assign(T2p11, 4172 | stan::math::subtract(Sig11, 4173 | stan::math::multiply(stan::math::multiply(Sig12, S22inv), 4174 | stan::math::transpose(Sig12))), "assigning variable T2p11"); stanExports_stanmarg.h:17751:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17751 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17752 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, 0> >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:4182:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4182 | stan::model::assign(ymis, 4183 | stan::math::add( 4184 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx), 4185 | stan::model::index_multi( 4186 | stan::model::rvalue(obsidx, "obsidx", 4187 | stan::model::index_min_max( 4188 | (stan::model::rvalue(Nobs, "Nobs", 4189 | stan::model::index_uni(mm)) + 1), p)))), 4190 | stan::math::multiply(stan::math::multiply(Sig12, S22inv), 4191 | stan::math::subtract( 4192 | stan::model::rvalue(YXstar, "YXstar", 4193 | stan::model::index_uni(jj), 4194 | stan::model::index_min_max(1, 4195 | stan::model::rvalue(Nobs, "Nobs", 4196 | stan::model::index_uni(mm)))), 4197 | stan::model::rvalue(Mu, "Mu", 4198 | stan::model::index_uni(grpidx), 4199 | stan::model::index_multi( 4200 | stan::model::rvalue(obsidx, "obsidx", 4201 | stan::model::index_min_max(1, 4202 | stan::model::rvalue(Nobs, "Nobs", 4203 | stan::model::index_uni(mm))))))))), 4204 | "assigning variable ymis"); stanExports_stanmarg.h:17751:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17751 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17752 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false> > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Transpose, -1, -1, false> > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, -1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, -1, -1, false> > >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, -1, false> >, Eigen::Transpose, -1, -1, false> > >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/crossprod.hpp:21:20: required from ‘auto stan::math::crossprod(const EigMat&) [with EigMat = Eigen::Block, -1, -1, false>; stan::require_eigen_t* = 0]’ 21 | return tcrossprod(M.transpose()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ stanExports_stanmarg.h:4235:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4235 | stan::math::crossprod( 4236 | stan::model::rvalue(YXfull, "YXfull", 4237 | stan::model::index_min_max(r1, r2), stan::model::index_omni())), stanExports_stanmarg.h:17751:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17751 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17752 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3403:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3403 | stan::model::assign(Vinv_11, 3404 | stan::math::add(Sigma_zz_inv, 3405 | stan::math::multiply(nj, 3406 | stan::math::multiply(stan::math::transpose(Sigma_yz_zi), 3407 | Sigma_ji_yz_zi))), "assigning variable Vinv_11"); stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3403:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3403 | stan::model::assign(Vinv_11, 3404 | stan::math::add(Sigma_zz_inv, 3405 | stan::math::multiply(nj, 3406 | stan::math::multiply(stan::math::transpose(Sigma_yz_zi), 3407 | Sigma_ji_yz_zi))), "assigning variable Vinv_11"); stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3403:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3403 | stan::model::assign(Vinv_11, 3404 | stan::math::add(Sigma_zz_inv, 3405 | stan::math::multiply(nj, 3406 | stan::math::multiply(stan::math::transpose(Sigma_yz_zi), 3407 | Sigma_ji_yz_zi))), "assigning variable Vinv_11"); stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3403:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3403 | stan::model::assign(Vinv_11, 3404 | stan::math::add(Sigma_zz_inv, 3405 | stan::math::multiply(nj, 3406 | stan::math::multiply(stan::math::transpose(Sigma_yz_zi), 3407 | Sigma_ji_yz_zi))), "assigning variable Vinv_11"); stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:42: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18414:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18414 | -stan::math::multi_normal_lpdf( 18415 | stan::model::rvalue(YXstar, "YXstar", 18416 | stan::model::index_uni(jj), 18417 | stan::model::index_multi( 18418 | stan::model::rvalue(xdatidx, "xdatidx", 18419 | stan::model::index_min_max(1, 18420 | stan::model::rvalue(Nx, "Nx", 18421 | stan::model::index_uni(mm)))))), 18422 | stan::model::rvalue(Mu, "Mu", 18423 | stan::model::index_uni(grpidx), 18424 | stan::model::index_multi( 18425 | stan::model::rvalue(xidx, "xidx", 18426 | stan::model::index_min_max(1, 18427 | stan::model::rvalue(Nx, "Nx", 18428 | stan::model::index_uni(mm)))))), 18429 | stan::model::rvalue(Sigma, "Sigma", 18430 | stan::model::index_uni(grpidx), 18431 | stan::model::index_multi( 18432 | stan::model::rvalue(xidx, "xidx", 18433 | stan::model::index_min_max(1, 18434 | stan::model::rvalue(Nx, "Nx", 18435 | stan::model::index_uni(mm))))), 18436 | stan::model::index_multi( 18437 | stan::model::rvalue(xidx, "xidx", 18438 | stan::model::index_min_max(1, 18439 | stan::model::rvalue(Nx, "Nx", 18440 | stan::model::index_uni(mm)))))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:42: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18414:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18414 | -stan::math::multi_normal_lpdf( 18415 | stan::model::rvalue(YXstar, "YXstar", 18416 | stan::model::index_uni(jj), 18417 | stan::model::index_multi( 18418 | stan::model::rvalue(xdatidx, "xdatidx", 18419 | stan::model::index_min_max(1, 18420 | stan::model::rvalue(Nx, "Nx", 18421 | stan::model::index_uni(mm)))))), 18422 | stan::model::rvalue(Mu, "Mu", 18423 | stan::model::index_uni(grpidx), 18424 | stan::model::index_multi( 18425 | stan::model::rvalue(xidx, "xidx", 18426 | stan::model::index_min_max(1, 18427 | stan::model::rvalue(Nx, "Nx", 18428 | stan::model::index_uni(mm)))))), 18429 | stan::model::rvalue(Sigma, "Sigma", 18430 | stan::model::index_uni(grpidx), 18431 | stan::model::index_multi( 18432 | stan::model::rvalue(xidx, "xidx", 18433 | stan::model::index_min_max(1, 18434 | stan::model::rvalue(Nx, "Nx", 18435 | stan::model::index_uni(mm))))), 18436 | stan::model::index_multi( 18437 | stan::model::rvalue(xidx, "xidx", 18438 | stan::model::index_min_max(1, 18439 | stan::model::rvalue(Nx, "Nx", 18440 | stan::model::index_uni(mm)))))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ 194 | ::run(rhs.transpose(),lhs.transpose(), dstT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14332:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14332 | lp_accum__.add(stan::math::multi_normal_lpdf( 14333 | stan::model::rvalue(YXstar, "YXstar", 14334 | stan::model::index_min_max(r1, r2), 14335 | stan::model::index_min_max(1, 14336 | stan::model::rvalue(Nobs, "Nobs", 14337 | stan::model::index_uni(mm)))), 14338 | stan::model::rvalue(Mu, "Mu", 14339 | stan::model::index_uni(grpidx), 14340 | stan::model::index_multi( 14341 | stan::model::rvalue(obsidx, "obsidx", 14342 | stan::model::index_min_max(1, 14343 | stan::model::rvalue(Nobs, "Nobs", 14344 | stan::model::index_uni(mm)))))), 14345 | stan::model::rvalue(Sigma, "Sigma", 14346 | stan::model::index_uni(grpidx), 14347 | stan::model::index_multi( 14348 | stan::model::rvalue(obsidx, "obsidx", 14349 | stan::model::index_min_max(1, 14350 | stan::model::rvalue(Nobs, "Nobs", 14351 | stan::model::index_uni(mm))))), 14352 | stan::model::index_multi( 14353 | stan::model::rvalue(obsidx, "obsidx", 14354 | stan::model::index_min_max(1, 14355 | stan::model::rvalue(Nobs, "Nobs", 14356 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose >, Eigen::Transpose > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:42:17: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~~~ 40 | .solve(Eigen::Matrix(b) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 41 | .transpose()) | ~~~~~~~~~~~~~ 42 | .transpose(); | ~~~~~~~~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose >, Eigen::Transpose > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:42:17: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~~~ 40 | .solve(Eigen::Matrix(b) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 41 | .transpose()) | ~~~~~~~~~~~~~ 42 | .transpose(); | ~~~~~~~~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3403:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3403 | stan::model::assign(Vinv_11, 3404 | stan::math::add(Sigma_zz_inv, 3405 | stan::math::multiply(nj, 3406 | stan::math::multiply(stan::math::transpose(Sigma_yz_zi), 3407 | Sigma_ji_yz_zi))), "assigning variable Vinv_11"); stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3403:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3403 | stan::model::assign(Vinv_11, 3404 | stan::math::add(Sigma_zz_inv, 3405 | stan::math::multiply(nj, 3406 | stan::math::multiply(stan::math::transpose(Sigma_yz_zi), 3407 | Sigma_ji_yz_zi))), "assigning variable Vinv_11"); stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 341 | dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Transpose, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryView, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/io/deserializer.hpp:979:0: required from ‘auto stan::io::deserializer::read_constrain_corr_matrix(LP&, size_t, Sizes ...) [with Ret = std::vector, -1, -1>, std::allocator, -1, -1> > >; bool Jacobian = true; LP = stan::math::var_value; Sizes = {int}; stan::require_std_vector_t* = 0; T = stan::math::var_value; size_t = long unsigned int]’ 979 | this->read_constrain_corr_matrix, Jacobian>( 980 | lp, sizes...)); stanExports_stanmarg.h:12894:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 12892 | Psi_r_mat_1 = in__.template read_constrain_corr_matrix< 12893 | std::vector>, 12894 | jacobian__>(lp__, Psi_r_mat_1_1dim__, 12895 | Psi_r_mat_1_3dim__); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, Eigen::CwiseUnaryOp, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stanExports_stanmarg.h:4434:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix, -1, -1>; T4__ = stan::math::var_value; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = stan::math::var_value; typename stan::base_type::type = stan::math::var_value; std::ostream = std::basic_ostream]’ 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", stanExports_stanmarg.h:14060:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14060 | sig_inv_update( 14061 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 14062 | stan::model::index_uni( 14063 | stan::model::rvalue(grpnum, "grpnum", 14064 | stan::model::index_uni(patt)))), 14065 | stan::model::rvalue(Obsvar, "Obsvar", 14066 | stan::model::index_uni(patt), stan::model::index_omni()), 14067 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 14068 | (p + q), 14069 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 14070 | stan::model::index_uni( 14071 | stan::model::rvalue(grpnum, "grpnum", 14072 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:442:0: required from ‘void stan::model::assign(Mat1&&, Mat2&&, const char*, index_min_max, index_min_max) [with Mat1 = Eigen::Matrix&; Mat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >; stan::require_dense_dynamic_t* = 0]’ 442 | internal::assign_impl( 443 | x.block(row_idx.min_ - 1, col_idx.min_ - 1, row_size, col_size), y, 444 | name); stanExports_stanmarg.h:4425:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix; T4__ = double; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4425 | stan::model::assign(out, 4426 | stan::math::subtract( 4427 | stan::model::rvalue(Sigmainv, "Sigmainv", 4428 | stan::model::index_multi( 4429 | stan::model::rvalue(obsidx, "obsidx", 4430 | stan::model::index_min_max(1, Nobs))), 4431 | stan::model::index_multi( 4432 | stan::model::rvalue(obsidx, "obsidx", 4433 | stan::model::index_min_max(1, Nobs)))), 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", 4436 | stan::model::index_min_max(1, Nobs), 4437 | stan::model::index_min_max(1, Nobs)); stanExports_stanmarg.h:16232:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16232 | sig_inv_update( 16233 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 16234 | stan::model::index_uni( 16235 | stan::model::rvalue(grpnum, "grpnum", 16236 | stan::model::index_uni(patt)))), 16237 | stan::model::rvalue(Obsvar, "Obsvar", 16238 | stan::model::index_uni(patt), stan::model::index_omni()), 16239 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 16240 | (p + q), 16241 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 16242 | stan::model::index_uni( 16243 | stan::model::rvalue(grpnum, "grpnum", 16244 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::CwiseNullaryOp&>(const Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix > >, 0> >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:4182:0: required from ‘std::vector::type, -1, -1> > model_stanmarg_namespace::estep(const std::vector >&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; stan::require_all_t, stan::is_stan_scalar, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ 4182 | stan::model::assign(ymis, 4183 | stan::math::add( 4184 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx), 4185 | stan::model::index_multi( 4186 | stan::model::rvalue(obsidx, "obsidx", 4187 | stan::model::index_min_max( 4188 | (stan::model::rvalue(Nobs, "Nobs", 4189 | stan::model::index_uni(mm)) + 1), p)))), 4190 | stan::math::multiply(stan::math::multiply(Sig12, S22inv), 4191 | stan::math::subtract( 4192 | stan::model::rvalue(YXstar, "YXstar", 4193 | stan::model::index_uni(jj), 4194 | stan::model::index_min_max(1, 4195 | stan::model::rvalue(Nobs, "Nobs", 4196 | stan::model::index_uni(mm)))), 4197 | stan::model::rvalue(Mu, "Mu", 4198 | stan::model::index_uni(grpidx), 4199 | stan::model::index_multi( 4200 | stan::model::rvalue(obsidx, "obsidx", 4201 | stan::model::index_min_max(1, 4202 | stan::model::rvalue(Nobs, "Nobs", 4203 | stan::model::index_uni(mm))))))))), 4204 | "assigning variable ymis"); stanExports_stanmarg.h:17751:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 17751 | estep(YXstar, Mu_sat, Sigma_sat, Nobs, Obsvar, startrow, 17752 | endrow, grpnum, Np, Ng, pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3403:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3403 | stan::model::assign(Vinv_11, 3404 | stan::math::add(Sigma_zz_inv, 3405 | stan::math::multiply(nj, 3406 | stan::math::multiply(stan::math::transpose(Sigma_yz_zi), 3407 | Sigma_ji_yz_zi))), "assigning variable Vinv_11"); stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, const Eigen::Transpose, -1, 1, true> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3403:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3403 | stan::model::assign(Vinv_11, 3404 | stan::math::add(Sigma_zz_inv, 3405 | stan::math::multiply(nj, 3406 | stan::math::multiply(stan::math::transpose(Sigma_yz_zi), 3407 | Sigma_ji_yz_zi))), "assigning variable Vinv_11"); stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3403:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3403 | stan::model::assign(Vinv_11, 3404 | stan::math::add(Sigma_zz_inv, 3405 | stan::math::multiply(nj, 3406 | stan::math::multiply(stan::math::transpose(Sigma_yz_zi), 3407 | Sigma_ji_yz_zi))), "assigning variable Vinv_11"); stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:412:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product > >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; EvalReturnType = const Eigen::Matrix]’ 412 | return typename internal::eval::type(derived()); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/quad_form_sym.hpp:37:47: required from ‘stan::plain_type_t stan::math::quad_form_sym(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::Transpose >; stan::require_all_eigen_t* = 0; stan::require_not_eigen_col_vector_t* = 0; stan::require_vt_same* = 0; stan::require_all_vt_arithmetic* = 0; stan::plain_type_t = Eigen::Matrix]’ 37 | (B_ref.transpose() * A_ref * B_ref).eval()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ stanExports_stanmarg.h:15701:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15701 | stan::math::quad_form_sym( 15702 | stan::model::rvalue(Psi, "Psi", stan::model::index_uni(g)), 15703 | stan::math::transpose( 15704 | stan::model::rvalue(Lambda_y_A, "Lambda_y_A", 15705 | stan::model::index_uni(g))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:442:0: required from ‘void stan::model::assign(Mat1&&, Mat2&&, const char*, index_min_max, index_min_max) [with Mat1 = Eigen::Matrix&; Mat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >; stan::require_dense_dynamic_t* = 0]’ 442 | internal::assign_impl( 443 | x.block(row_idx.min_ - 1, col_idx.min_ - 1, row_size, col_size), y, 444 | name); stanExports_stanmarg.h:4425:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix; T4__ = double; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4425 | stan::model::assign(out, 4426 | stan::math::subtract( 4427 | stan::model::rvalue(Sigmainv, "Sigmainv", 4428 | stan::model::index_multi( 4429 | stan::model::rvalue(obsidx, "obsidx", 4430 | stan::model::index_min_max(1, Nobs))), 4431 | stan::model::index_multi( 4432 | stan::model::rvalue(obsidx, "obsidx", 4433 | stan::model::index_min_max(1, Nobs)))), 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", 4436 | stan::model::index_min_max(1, Nobs), 4437 | stan::model::index_min_max(1, Nobs)); stanExports_stanmarg.h:16232:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16232 | sig_inv_update( 16233 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 16234 | stan::model::index_uni( 16235 | stan::model::rvalue(grpnum, "grpnum", 16236 | stan::model::index_uni(patt)))), 16237 | stan::model::rvalue(Obsvar, "Obsvar", 16238 | stan::model::index_uni(patt), stan::model::index_omni()), 16239 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 16240 | (p + q), 16241 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 16242 | stan::model::index_uni( 16243 | stan::model::rvalue(grpnum, "grpnum", 16244 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:442:0: required from ‘void stan::model::assign(Mat1&&, Mat2&&, const char*, index_min_max, index_min_max) [with Mat1 = Eigen::Matrix&; Mat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >; stan::require_dense_dynamic_t* = 0]’ 442 | internal::assign_impl( 443 | x.block(row_idx.min_ - 1, col_idx.min_ - 1, row_size, col_size), y, 444 | name); stanExports_stanmarg.h:4425:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix; T4__ = double; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4425 | stan::model::assign(out, 4426 | stan::math::subtract( 4427 | stan::model::rvalue(Sigmainv, "Sigmainv", 4428 | stan::model::index_multi( 4429 | stan::model::rvalue(obsidx, "obsidx", 4430 | stan::model::index_min_max(1, Nobs))), 4431 | stan::model::index_multi( 4432 | stan::model::rvalue(obsidx, "obsidx", 4433 | stan::model::index_min_max(1, Nobs)))), 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", 4436 | stan::model::index_min_max(1, Nobs), 4437 | stan::model::index_min_max(1, Nobs)); stanExports_stanmarg.h:16232:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16232 | sig_inv_update( 16233 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 16234 | stan::model::index_uni( 16235 | stan::model::rvalue(grpnum, "grpnum", 16236 | stan::model::index_uni(patt)))), 16237 | stan::model::rvalue(Obsvar, "Obsvar", 16238 | stan::model::index_uni(patt), stan::model::index_omni()), 16239 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 16240 | (p + q), 16241 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 16242 | stan::model::index_uni( 16243 | stan::model::rvalue(grpnum, "grpnum", 16244 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3403:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3403 | stan::model::assign(Vinv_11, 3404 | stan::math::add(Sigma_zz_inv, 3405 | stan::math::multiply(nj, 3406 | stan::math::multiply(stan::math::transpose(Sigma_yz_zi), 3407 | Sigma_ji_yz_zi))), "assigning variable Vinv_11"); stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3403:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3403 | stan::model::assign(Vinv_11, 3404 | stan::math::add(Sigma_zz_inv, 3405 | stan::math::multiply(nj, 3406 | stan::math::multiply(stan::math::transpose(Sigma_yz_zi), 3407 | Sigma_ji_yz_zi))), "assigning variable Vinv_11"); stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3403:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3403 | stan::model::assign(Vinv_11, 3404 | stan::math::add(Sigma_zz_inv, 3405 | stan::math::multiply(nj, 3406 | stan::math::multiply(stan::math::transpose(Sigma_yz_zi), 3407 | Sigma_ji_yz_zi))), "assigning variable Vinv_11"); stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1129:51: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/trace_inv_quad_form_ldlt.hpp:36:42: required from ‘stan::return_type_t stan::math::trace_inv_quad_form_ldlt(LDLT_factor&, const EigMat2&) [with T = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; = void; stan::return_type_t = double]’ 36 | return B.cwiseProduct(mdivide_left_ldlt(A, B)).sum(); | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_loc = Eigen::CwiseNullaryOp&>(Eigen::Matrix&, const char*, const index_multi&)::::, Eigen::Matrix >; T_covar = Eigen::Matrix; stan::return_type_t = double]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:18414:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18414 | -stan::math::multi_normal_lpdf( 18415 | stan::model::rvalue(YXstar, "YXstar", 18416 | stan::model::index_uni(jj), 18417 | stan::model::index_multi( 18418 | stan::model::rvalue(xdatidx, "xdatidx", 18419 | stan::model::index_min_max(1, 18420 | stan::model::rvalue(Nx, "Nx", 18421 | stan::model::index_uni(mm)))))), 18422 | stan::model::rvalue(Mu, "Mu", 18423 | stan::model::index_uni(grpidx), 18424 | stan::model::index_multi( 18425 | stan::model::rvalue(xidx, "xidx", 18426 | stan::model::index_min_max(1, 18427 | stan::model::rvalue(Nx, "Nx", 18428 | stan::model::index_uni(mm)))))), 18429 | stan::model::rvalue(Sigma, "Sigma", 18430 | stan::model::index_uni(grpidx), 18431 | stan::model::index_multi( 18432 | stan::model::rvalue(xidx, "xidx", 18433 | stan::model::index_min_max(1, 18434 | stan::model::rvalue(Nx, "Nx", 18435 | stan::model::index_uni(mm))))), 18436 | stan::model::index_multi( 18437 | stan::model::rvalue(xidx, "xidx", 18438 | stan::model::index_min_max(1, 18439 | stan::model::rvalue(Nx, "Nx", 18440 | stan::model::index_uni(mm)))))))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3403:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3403 | stan::model::assign(Vinv_11, 3404 | stan::math::add(Sigma_zz_inv, 3405 | stan::math::multiply(nj, 3406 | stan::math::multiply(stan::math::transpose(Sigma_yz_zi), 3407 | Sigma_ji_yz_zi))), "assigning variable Vinv_11"); stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1129:51: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/prob/multi_normal_lpdf.hpp:98:45: required from ‘stan::return_type_t stan::math::multi_normal_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = std::vector, -1, 1>, std::allocator, -1, 1> > >; T_loc = Eigen::CwiseNullaryOp, -1, 1>&>(Eigen::Matrix, -1, 1>&, const char*, const index_multi&)::::, Eigen::Matrix, -1, 1> >; T_covar = Eigen::Matrix, -1, -1>; stan::return_type_t = var_value]’ 98 | sum_lp_vec += trace_inv_quad_form_ldlt(ldlt_Sigma, y_col - mu_col); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ stanExports_stanmarg.h:14332:0: required from ‘stan::scalar_type_t model_stanmarg_namespace::model_stanmarg::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector, std::allocator > >; VecI = std::vector; stan::require_vector_like_t* = 0; stan::require_vector_like_vt* = 0; stan::scalar_type_t = stan::math::var_value; std::ostream = std::basic_ostream]’ 14332 | lp_accum__.add(stan::math::multi_normal_lpdf( 14333 | stan::model::rvalue(YXstar, "YXstar", 14334 | stan::model::index_min_max(r1, r2), 14335 | stan::model::index_min_max(1, 14336 | stan::model::rvalue(Nobs, "Nobs", 14337 | stan::model::index_uni(mm)))), 14338 | stan::model::rvalue(Mu, "Mu", 14339 | stan::model::index_uni(grpidx), 14340 | stan::model::index_multi( 14341 | stan::model::rvalue(obsidx, "obsidx", 14342 | stan::model::index_min_max(1, 14343 | stan::model::rvalue(Nobs, "Nobs", 14344 | stan::model::index_uni(mm)))))), 14345 | stan::model::rvalue(Sigma, "Sigma", 14346 | stan::model::index_uni(grpidx), 14347 | stan::model::index_multi( 14348 | stan::model::rvalue(obsidx, "obsidx", 14349 | stan::model::index_min_max(1, 14350 | stan::model::rvalue(Nobs, "Nobs", 14351 | stan::model::index_uni(mm))))), 14352 | stan::model::index_multi( 14353 | stan::model::rvalue(obsidx, "obsidx", 14354 | stan::model::index_min_max(1, 14355 | stan::model::rvalue(Nobs, "Nobs", 14356 | stan::model::index_uni(mm)))))))); stanExports_stanmarg.h:22360:0: required from ‘T_ model_stanmarg_namespace::model_stanmarg::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value; std::ostream = std::basic_ostream]’ 22360 | return log_prob_impl(params_r, params_i, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_stanmarg_namespace::model_stanmarg; std::ostream = std::basic_ostream]’ 40 | var adLogProb = model.template log_prob( 41 | ad_params_r, params_i, msgs); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1183:0: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1183 | lp = stan::model::log_prob_grad(model_, par_r, par_i, gradient, &rstan::io::rcout); stanExports_stanmarg.cc:23:0: required from here 23 | .method("grad_log_prob", &rstan::stan_fit ::grad_log_prob) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose >, Eigen::Transpose > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:42:17: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~~~ 40 | .solve(Eigen::Matrix(b) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 41 | .transpose()) | ~~~~~~~~~~~~~ 42 | .transpose(); | ~~~~~~~~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::sub_assign_op; int Version = 1; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:442:0: required from ‘void stan::model::assign(Mat1&&, Mat2&&, const char*, index_min_max, index_min_max) [with Mat1 = Eigen::Matrix&; Mat2 = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >; stan::require_dense_dynamic_t* = 0]’ 442 | internal::assign_impl( 443 | x.block(row_idx.min_ - 1, col_idx.min_ - 1, row_size, col_size), y, 444 | name); stanExports_stanmarg.h:4425:0: required from ‘Eigen::Matrix::type, T1__>::type, -1, -1> model_stanmarg_namespace::sig_inv_update(const T0__&, const std::vector&, const int&, const int&, const T4__&, std::ostream*) [with T0__ = Eigen::Matrix; T4__ = double; stan::require_all_t, stan::is_vt_not_complex, stan::is_stan_scalar >* = 0; typename boost::math::tools::promote_args::type, T1__>::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 4425 | stan::model::assign(out, 4426 | stan::math::subtract( 4427 | stan::model::rvalue(Sigmainv, "Sigmainv", 4428 | stan::model::index_multi( 4429 | stan::model::rvalue(obsidx, "obsidx", 4430 | stan::model::index_min_max(1, Nobs))), 4431 | stan::model::index_multi( 4432 | stan::model::rvalue(obsidx, "obsidx", 4433 | stan::model::index_min_max(1, Nobs)))), 4434 | stan::math::multiply(stan::math::transpose(A), 4435 | stan::math::mdivide_left_spd(H, A))), "assigning variable out", 4436 | stan::model::index_min_max(1, Nobs), 4437 | stan::model::index_min_max(1, Nobs)); stanExports_stanmarg.h:16232:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 16232 | sig_inv_update( 16233 | stan::model::rvalue(Sigmainv_grp, "Sigmainv_grp", 16234 | stan::model::index_uni( 16235 | stan::model::rvalue(grpnum, "grpnum", 16236 | stan::model::index_uni(patt)))), 16237 | stan::model::rvalue(Obsvar, "Obsvar", 16238 | stan::model::index_uni(patt), stan::model::index_omni()), 16239 | stan::model::rvalue(Nobs, "Nobs", stan::model::index_uni(patt)), 16240 | (p + q), 16241 | stan::model::rvalue(logdetSigma_grp, "logdetSigma_grp", 16242 | stan::model::index_uni( 16243 | stan::model::rvalue(grpnum, "grpnum", 16244 | stan::model::index_uni(patt)))), pstream__), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3403:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3403 | stan::model::assign(Vinv_11, 3404 | stan::math::add(Sigma_zz_inv, 3405 | stan::math::multiply(nj, 3406 | stan::math::multiply(stan::math::transpose(Sigma_yz_zi), 3407 | Sigma_ji_yz_zi))), "assigning variable Vinv_11"); stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block >, 1, -1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose >, Eigen::Transpose > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/mdivide_right.hpp:42:17: required from ‘Eigen::Matrix::type, T1::RowsAtCompileTime, T2::ColsAtCompileTime> stan::math::mdivide_right(const EigMat1&, const EigMat2&) [with EigMat1 = Eigen::Matrix; EigMat2 = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; stan::require_all_eigen_t* = 0; stan::require_all_not_vt_fvar* = 0; typename stan::return_type::type = double]’ 36 | return Eigen::Matrix(A) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | .transpose() | ~~~~~~~~~~~~ 39 | .lu() | ~~~~~ 40 | .solve(Eigen::Matrix(b) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 41 | .transpose()) | ~~~~~~~~~~~~~ 42 | .transpose(); | ~~~~~~~~~~^~ stanExports_stanmarg.h:15651:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 15651 | stan::math::mdivide_right( 15652 | stan::model::rvalue(Lambda_y, "Lambda_y", 15653 | stan::model::index_uni(g)), 15654 | stan::math::subtract(I, 15655 | stan::model::rvalue(B, "B", stan::model::index_uni(g)))), stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/model/indexing/assign.hpp:60:0: required from ‘void stan::model::assign(T&&, U&&, const char*) [with T = Eigen::Matrix&; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 0> > >; stan::require_t::type&, typename std::decay<_Tp2>::type> >* = 0; stan::require_all_not_t, internal::is_tuple >* = 0]’ 60 | internal::assign_impl(x, std::forward(y), name); stanExports_stanmarg.h:3403:0: required from ‘Eigen::Matrix::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type, -1, 1> model_stanmarg_namespace::twolevel_logdens(const std::vector >&, const std::vector >&, const T2__&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const int&, const std::vector&, const T9__&, const T10__&, const T11__&, const T12__&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const int&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = Eigen::Matrix; T3__ = double; T9__ = Eigen::Matrix; T10__ = Eigen::Matrix; T11__ = Eigen::Matrix; T12__ = Eigen::Matrix; stan::require_all_t, stan::is_stan_scalar, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_stan_scalar, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex, stan::is_col_vector, stan::is_vt_not_complex, stan::is_eigen_matrix_dynamic, stan::is_vt_not_complex >* = 0; typename boost::math::tools::promote_args::type, T3__, typename stan::base_type::type, typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename boost::math::tools::promote_args::type, typename stan::base_type::type, typename stan::base_type::type>::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; typename stan::base_type::type = double; std::ostream = std::basic_ostream]’ 3403 | stan::model::assign(Vinv_11, 3404 | stan::math::add(Sigma_zz_inv, 3405 | stan::math::multiply(nj, 3406 | stan::math::multiply(stan::math::transpose(Sigma_yz_zi), 3407 | Sigma_ji_yz_zi))), "assigning variable Vinv_11"); stanExports_stanmarg.h:18065:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array_impl(RNG&, VecR&, VecI&, VecVar&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; VecR = std::vector; VecI = std::vector; VecVar = std::vector; stan::require_vector_like_vt* = 0; stan::require_vector_like_vt* = 0; stan::require_vector_vt* = 0; std::ostream = std::basic_ostream]’ 18065 | twolevel_logdens( 18066 | stan::model::rvalue(mean_d_full, "mean_d_full", 18067 | stan::model::index_min_max(r1, r2)), 18068 | stan::model::rvalue(cov_d_full, "cov_d_full", 18069 | stan::model::index_min_max(r1, r2)), 18070 | stan::model::rvalue(S_PW, "S_PW", 18071 | stan::model::index_uni(grpidx)), 18072 | stan::model::rvalue(YX, "YX", 18073 | stan::model::index_min_max(r3, r4)), 18074 | stan::model::rvalue(nclus, "nclus", 18075 | stan::model::index_uni(grpidx), stan::model::index_omni()), 18076 | stan::model::rvalue(cluster_size, "cluster_size", 18077 | stan::model::index_min_max(r1, r2)), 18078 | stan::model::rvalue(cluster_size, "cluster_size", 18079 | stan::model::index_min_max(r1, r2)), 18080 | stan::model::rvalue(nclus, "nclus", 18081 | stan::model::index_uni(grpidx), stan::model::index_uni(2)), 18082 | stan::model::rvalue(intone, "intone", 18083 | stan::model::index_min_max(1, 18084 | stan::model::rvalue(nclus, "nclus", 18085 | stan::model::index_uni(grpidx), 18086 | stan::model::index_uni(2)))), 18087 | stan::model::rvalue(Mu, "Mu", stan::model::index_uni(grpidx)), 18088 | stan::model::rvalue(Sigma, "Sigma", 18089 | stan::model::index_uni(grpidx)), 18090 | stan::model::rvalue(Mu_c, "Mu_c", 18091 | stan::model::index_uni(grpidx)), 18092 | stan::model::rvalue(Sigma_c, "Sigma_c", 18093 | stan::model::index_uni(grpidx)), ov_idx1, ov_idx2, 18094 | within_idx, between_idx, both_idx, p_tilde, N_within, 18095 | N_between, N_both, pstream__), "assigning variable log_lik", stanExports_stanmarg.h:22349:0: required from ‘void model_stanmarg_namespace::model_stanmarg::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ 22349 | write_array_impl(base_rng, params_r, params_i, vars, 22350 | emit_transformed_parameters, emit_generated_quantities, pstream); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/rstan/include/rstan/stan_fit.hpp:1105:0: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_stanmarg_namespace::model_stanmarg; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ 1105 | model_.write_array(base_rng, params_r, params_i, par); stanExports_stanmarg.cc:26:0: required from here 26 | .method("constrain_pars", &rstan::stan_fit ::constrain_pars) /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 238 | return Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/optimization/newton.hpp:19:0: required from here 19 | Eigen::SelfAdjointEigenSolver solver(H); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >’ 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/callback_vari.hpp:21:0: recursively required from ‘void stan::math::internal::callback_vari::chain() [with T = double; F = stan::math::sum > >(const std::vector, arena_allocator > >&)::]’ 21 | inline void chain() final { rev_functor_(*this); } /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/callback_vari.hpp:21:0: required from here /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/callback_vari.hpp:21:0: recursively required from ‘void stan::math::internal::callback_vari::chain() [with T = double; F = stan::math::trace, -1, -1> >(const Eigen::Matrix, -1, -1>&)::]’ 21 | inline void chain() final { rev_functor_(*this); } /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/core/callback_vari.hpp:21:0: required from here /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:66:0: required from ‘void stan::math::internal::mdivide_left_spd_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ 66 | -= adjB * alloc_->C_.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:62:0: required from here 62 | virtual void chain() { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1> >::adj_Op, Eigen::Matrix, -1, -1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1> >::adj_Op, Eigen::Matrix, -1, -1> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1> >::adj_Op, Eigen::Matrix, -1, -1> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1> >::adj_Op, Eigen::Matrix, -1, -1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1> >::adj_Op, Eigen::Matrix, -1, -1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7: required from ‘class Eigen::CwiseUnaryViewImpl, -1, -1> >::adj_Op, Eigen::Matrix, -1, -1>, Eigen::Dense>’ 103 | class CwiseUnaryViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView, -1, -1> >::adj_Op, Eigen::Matrix, -1, -1> >’ 58 | class CwiseUnaryView : public CwiseUnaryViewImpl::StorageKind> | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:89:0: required from ‘void stan::math::internal::quad_form_vari::chain() [with Ta = stan::math::var_value; int Ra = -1; int Ca = -1; Tb = stan::math::var_value; int Rb = -1; int Cb = -1]’ 89 | matrix_d adjC = impl_->C_.adj(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:88:0: required from here 88 | virtual void chain() { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>&>(Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1>&>(Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1>&>(Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, -1, -1>&>(Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, -1, -1>&>(Eigen::Matrix, -1, -1>&)::::, const Eigen::Matrix, -1, -1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:27: required from ‘stan::math::value_of, -1, -1>&>(Eigen::Matrix, -1, -1>&):: [with auto:11 = Eigen::Matrix, -1, -1>]’ 75 | return a.unaryExpr([](const auto& scal) { return value_of(scal); }); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41: required by substitution of ‘template()((declval)()...))>* > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::value_of, -1, -1>&>(Eigen::Matrix, -1, -1>&)::; Args = {Eigen::Matrix, -1, -1, 0, -1, -1>&}; stan::require_plain_type_t()((declval)()...))>* = ]’ 370 | decltype(std::declval()(std::declval()...))>* = nullptr> | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/prim/fun/value_of.hpp:73:21: required from ‘auto stan::math::value_of(EigMat&&) [with EigMat = Eigen::Matrix, -1, -1>&; stan::require_eigen_dense_base_t* = 0; stan::require_not_st_arithmetic* = 0]’ 73 | return make_holder( | ~~~~~~~~~~~^ 74 | [](auto& a) { | ~~~~~~~~~~~~~ 75 | return a.unaryExpr([](const auto& scal) { return value_of(scal); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 76 | }, | ~~ 77 | std::forward(M)); | ~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:91:0: required from ‘void stan::math::internal::quad_form_vari::chain() [with Ta = stan::math::var_value; int Ra = -1; int Ca = -1; Tb = stan::math::var_value; int Rb = -1; int Cb = -1]’ 91 | chainAB(impl_->A_, impl_->B_, value_of(impl_->A_), value_of(impl_->B_), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:88:0: required from here 88 | virtual void chain() { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:69:0: required from ‘void stan::math::internal::quad_form_vari::chainB(Eigen::Matrix, Rb, Cb>&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var_value; int Ra = -1; int Ca = -1; Tb = stan::math::var_value; int Rb = -1; int Cb = -1]’ 69 | B.adj() += Ad * Bd * adjC.transpose() + Ad.transpose() * Bd * adjC; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:78:0: required from ‘void stan::math::internal::quad_form_vari::chainAB(Eigen::Matrix&, Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var_value; int Ra = -1; int Ca = -1; Tb = stan::math::var_value; int Rb = -1; int Cb = -1]’ 78 | chainB(B, Ad, Bd, adjC); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:91:0: required from ‘void stan::math::internal::quad_form_vari::chain() [with Ta = stan::math::var_value; int Ra = -1; int Ca = -1; Tb = stan::math::var_value; int Rb = -1; int Cb = -1]’ 91 | chainAB(impl_->A_, impl_->B_, value_of(impl_->A_), value_of(impl_->B_), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:88:0: required from here 88 | virtual void chain() { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:0: required from ‘double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ 21 | return 0.5 * z.p.dot(z.inv_e_metric_.cwiseProduct(z.p)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:0: required from here 20 | double T(diag_e_point& z) { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ 22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here 21 | double T(dense_e_point& z) { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ 22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here 21 | double T(dense_e_point& z) { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:0: required from ‘double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ 21 | return 0.5 * z.p.dot(z.inv_e_metric_.cwiseProduct(z.p)); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:0: required from here 20 | double T(diag_e_point& z) { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ 22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here 21 | double T(dense_e_point& z) { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:66:0: required from ‘void stan::math::internal::mdivide_left_spd_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ 65 | Eigen::Map(variRefA_, M_, M_).adj() 66 | -= adjB * alloc_->C_.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:62:0: required from here 62 | virtual void chain() { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:66:0: required from ‘void stan::math::internal::mdivide_left_spd_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ 65 | Eigen::Map(variRefA_, M_, M_).adj() 66 | -= adjB * alloc_->C_.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:62:0: required from here 62 | virtual void chain() { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:66:0: required from ‘void stan::math::internal::mdivide_left_spd_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ 65 | Eigen::Map(variRefA_, M_, M_).adj() 66 | -= adjB * alloc_->C_.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:62:0: required from here 62 | virtual void chain() { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::CwiseUnaryView*, -1, -1> > >::adj_Op, Eigen::Map*, -1, -1> > >]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:66:0: required from ‘void stan::math::internal::mdivide_left_spd_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ 65 | Eigen::Map(variRefA_, M_, M_).adj() 66 | -= adjB * alloc_->C_.transpose(); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:62:0: required from here 62 | virtual void chain() { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView, -1, -1> >::adj_Op, Eigen::Matrix, -1, -1> >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; Derived = Eigen::CwiseUnaryView, -1, -1> >::adj_Op, Eigen::Matrix, -1, -1> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:69:0: required from ‘void stan::math::internal::quad_form_vari::chainB(Eigen::Matrix, Rb, Cb>&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var_value; int Ra = -1; int Ca = -1; Tb = stan::math::var_value; int Rb = -1; int Cb = -1]’ 69 | B.adj() += Ad * Bd * adjC.transpose() + Ad.transpose() * Bd * adjC; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:78:0: required from ‘void stan::math::internal::quad_form_vari::chainAB(Eigen::Matrix&, Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var_value; int Ra = -1; int Ca = -1; Tb = stan::math::var_value; int Rb = -1; int Cb = -1]’ 78 | chainB(B, Ad, Bd, adjC); /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:91:0: required from ‘void stan::math::internal::quad_form_vari::chain() [with Ta = stan::math::var_value; int Ra = -1; int Ca = -1; Tb = stan::math::var_value; int Rb = -1; int Cb = -1]’ 91 | chainAB(impl_->A_, impl_->B_, value_of(impl_->A_), value_of(impl_->B_), /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:88:0: required from here 88 | virtual void chain() { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ 22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here 21 | double T(dense_e_point& z) { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ 22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here 21 | double T(dense_e_point& z) { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ 22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here 21 | double T(dense_e_point& z) { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ 22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here 21 | double T(dense_e_point& z) { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ 22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here 21 | double T(dense_e_point& z) { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ 22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here 21 | double T(dense_e_point& z) { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_stanmarg_namespace::model_stanmarg; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ 22 | return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p; /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0: required from here 21 | double T(dense_e_point& z) { /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ stanExports_stanmarg.h: In constructor ‘model_stanmarg_namespace::model_stanmarg::model_stanmarg(stan::io::var_context&, unsigned int, std::ostream*)’: stanExports_stanmarg.h:5411: note: variable tracking size limit exceeded with ‘-fvar-tracking-assignments’, retrying without 5411 | model_stanmarg(stan::io::var_context& context__, unsigned int /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In function ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized] 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:41:6: note: by argument 4 of type ‘const double*’ to ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’ declared here 41 | void selfadjoint_matrix_vector_product::run( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:341: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6]’: /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized] 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const double*’ to ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0]’ declared here 105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o blavaan.so RcppExports.o stanExports_stanmarg.o -L/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/lib/ -Wl,-rpath,/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppParallel/lib/ -ltbb -ltbbmalloc -L/home/hornik/tmp/R-d-gcc-14/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpVPE7XV/R.INSTALL3694d5777a3b83/blavaan/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-blavaan/00new/blavaan/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** 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jagstargets_1.2.1.tar.gz ... checking organizr_0.1.0.tar.gz ... checking reprex_2.1.1.tar.gz ... checking butcher_0.3.4.tar.gz ... checking reportfactory_0.4.0.tar.gz ... checking smfishHmrf_0.1.tar.gz ... checking traudem_1.0.3.tar.gz ... checking SIAtools_0.1.1.tar.gz ... checking wither_0.1.0.tar.gz ... checking mockr_0.2.1.tar.gz ... checking golem_0.5.1.tar.gz ... checking vroom_1.6.5.tar.gz ... checking WebAnalytics_0.9.12.tar.gz ... checking robustlmm_3.3-1.tar.gz ... checking precommit_0.4.3.tar.gz ... checking gitlink_0.1.3.tar.gz ... checking rmarkdown_2.28.tar.gz ... checking saros.base_0.2.1.tar.gz ... checking tor_1.1.3.tar.gz ... checking dynaSpec_1.0.2.tar.gz ... checking orthGS_0.1.5.tar.gz ... Depends: Package: fs Depends: R (>= 3.6) Imports: methods Timings: user system elapsed fs 86.47 11.576 105.437 Results: Check status summary: ERROR NOTE OK Source packages 0 0 1 Reverse depends 1 43 233 Check results summary: fs ... OK rdepends_addinsOutline ... OK rdepends_ag5Tools ... OK rdepends_aifeducation ... OK rdepends_alfr ... OK rdepends_altair ... OK rdepends_altdoc ... OK rdepends_arkdb ... OK rdepends_ARUtools ... OK rdepends_babelwhale ... OK rdepends_baf ... NOTE * checking Rd cross-references ... NOTE rdepends_banffIT ... OK rdepends_basedosdados ... NOTE * checking Rd files ... [0s/0s] NOTE rdepends_batata ... OK rdepends_batchtools ... NOTE * checking Rd files ... [1s/1s] NOTE * checking Rd cross-references ... NOTE rdepends_bdc ... OK rdepends_beaver ... OK rdepends_BFS ... ERROR * checking tests ... [19s/124s] ERROR rdepends_bioimagetools ... OK rdepends_biomartr ... OK rdepends_blastula ... OK rdepends_bmm ... NOTE * checking Rd cross-references ... NOTE rdepends_box.linters ... OK rdepends_box.lsp ... OK rdepends_boxr ... NOTE * checking Rd cross-references ... NOTE rdepends_brisk ... OK rdepends_bskyr ... OK rdepends_bulkreadr ... NOTE * checking Rd cross-references ... NOTE rdepends_butcher ... OK rdepends_cabinets ... OK rdepends_campfin ... OK rdepends_canaper ... OK rdepends_CDMConnector ... OK rdepends_censobr ... OK rdepends_ceramic ... OK rdepends_chattr ... OK rdepends_cheatsheet ... OK rdepends_comtradr ... OK rdepends_condensr ... OK rdepends_connectapi ... OK rdepends_contentid ... OK rdepends_cookiecutter ... OK rdepends_covidmx ... OK rdepends_csdata ... OK rdepends_cucumber ... OK rdepends_customiser ... OK rdepends_cvap ... OK rdepends_daiR ... OK rdepends_data.validator ... OK rdepends_datacleanr ... NOTE * checking Rd cross-references ... NOTE rdepends_datapack ... NOTE * checking Rd files ... [1s/1s] NOTE rdepends_dataspice ... OK rdepends_depigner ... NOTE * checking Rd files ... [0s/0s] NOTE * checking Rd cross-references ... NOTE rdepends_devtools ... NOTE * checking Rd cross-references ... NOTE rdepends_disk.frame ... NOTE * checking Rd files ... [1s/1s] NOTE rdepends_distops ... OK rdepends_dlr ... OK rdepends_dockerfiler ... OK rdepends_doctest ... OK rdepends_dodgr ... OK rdepends_downloadthis ... OK rdepends_dreamer ... NOTE * checking Rd files ... [0s/1s] NOTE rdepends_dtrackr ... OK rdepends_duckdbfs ... OK rdepends_dynaSpec ... OK rdepends_earthdatalogin ... OK rdepends_eCerto ... OK rdepends_ech ... OK rdepends_ecoval ... OK rdepends_EDCimport ... OK rdepends_EGM ... OK rdepends_eider ... OK rdepends_envvar ... OK rdepends_eodhdR2 ... OK rdepends_esmtools ... OK rdepends_etl ... NOTE * checking Rd cross-references ... NOTE rdepends_eurocordexr ... NOTE * checking Rd cross-references ... NOTE rdepends_EWSmethods ... OK rdepends_exampletestr ... OK rdepends_eyelinkReader ... OK rdepends_fabR ... OK rdepends_fec16 ... OK rdepends_feltr ... OK rdepends_fidelius ... OK rdepends_findInFiles ... OK rdepends_finnts ... OK rdepends_fio ... OK rdepends_fledge ... NOTE * checking Rd cross-references ... NOTE rdepends_flightsbr ... OK rdepends_fr ... OK rdepends_framecleaner ... OK rdepends_frenchdata ... OK rdepends_funspotr ... OK rdepends_gargle ... NOTE * checking Rd cross-references ... NOTE rdepends_geobr ... OK rdepends_geouy ... OK rdepends_GetDFPData2 ... OK rdepends_GetQuandlData ... OK rdepends_GetTDData ... OK rdepends_ghclass ... OK rdepends_gitlink ... OK rdepends_gmwmx ... OK rdepends_golem ... OK rdepends_googleCloudStorageR ... OK rdepends_gt ... OK rdepends_gtExtras ... OK rdepends_gtfsio ... OK rdepends_guildai ... NOTE * checking Rd files ... [1s/1s] NOTE rdepends_haven ... OK rdepends_hdbayes ... OK rdepends_heapsofpapers ... OK rdepends_here ... OK rdepends_hfhub ... OK rdepends_hippie ... OK rdepends_htsr ... OK rdepends_hubUtils ... OK rdepends_ieegio ... OK rdepends_iheiddown ... OK rdepends_ijtiff ... OK rdepends_indiedown ... OK rdepends_infer ... OK rdepends_instantiate ... OK rdepends_interfacer ... OK rdepends_isobxr ... OK rdepends_jagstargets ... OK rdepends_jdenticon ... OK rdepends_jinjar ... OK rdepends_k5 ... OK rdepends_keyATM ... NOTE * checking Rd cross-references ... NOTE rdepends_languageserver ... OK rdepends_latexdiffr ... OK rdepends_ldaPrototype ... OK rdepends_lehuynh ... OK rdepends_leprechaun ... OK rdepends_LFApp ... OK rdepends_LifeInsureR ... NOTE * checking Rd cross-references ... NOTE rdepends_listdown ... NOTE * checking Rd files ... [0s/0s] NOTE rdepends_litteR ... NOTE * checking Rd files ... [0s/0s] NOTE * checking Rd cross-references ... NOTE rdepends_longsurr ... OK rdepends_luz ... NOTE * checking Rd cross-references ... NOTE rdepends_lvmisc ... OK rdepends_madshapR ... OK rdepends_mailmerge ... OK rdepends_mall ... OK rdepends_mapscanner ... OK rdepends_mark ... OK rdepends_mdsr ... OK rdepends_measr ... OK rdepends_mergenstudio ... OK rdepends_metaboData ... OK rdepends_MiMIR ... OK rdepends_minioclient ... OK rdepends_mlflow ... OK rdepends_mockr ... OK rdepends_morphemepiece ... NOTE * checking Rd files ... [0s/0s] NOTE rdepends_namer ... OK rdepends_neo4jshell ... OK rdepends_neuralGAM ... OK rdepends_nflreadr ... OK rdepends_oceanexplorer ... OK rdepends_oncrawlR ... OK rdepends_oolong ... OK rdepends_orderly ... OK rdepends_organizr ... OK rdepends_orthGS ... OK rdepends_osfr ... OK rdepends_ottrpal ... NOTE * checking Rd cross-references ... NOTE rdepends_packager ... NOTE * checking Rd files ... [1s/1s] NOTE * checking Rd cross-references ... NOTE rdepends_packer ... NOTE * checking package subdirectories ... NOTE rdepends_pandoc ... OK rdepends_path.chain ... OK rdepends_personalr ... OK rdepends_PhilipsHue ... OK rdepends_piggyback ... OK rdepends_pins ... OK rdepends_piwikproR ... OK rdepends_pkgcache ... OK rdepends_pkgdepends ... OK rdepends_pkgdown ... OK rdepends_pkgload ... OK rdepends_planscorer ... OK rdepends_plnr ... OK rdepends_pointblank ... OK rdepends_polmineR ... OK rdepends_pracpac ... OK rdepends_precommit ... OK rdepends_prodigenr ... OK rdepends_projects ... OK rdepends_pulsar ... OK rdepends_pysparklyr ... OK rdepends_qtwAcademic ... OK rdepends_qualtRics ... OK rdepends_rATTAINS ... OK rdepends_rbedrock ... OK rdepends_rcompendium ... NOTE * checking Rd cross-references ... NOTE rdepends_RcppCWB ... OK rdepends_readme2vignette ... OK rdepends_REDCapExporter ... OK rdepends_reportfactory ... OK rdepends_reprex ... OK rdepends_reproducible ... OK rdepends_restez ... OK rdepends_retroharmonize ... NOTE * checking Rd files ... [0s/1s] NOTE rdepends_ReviewR ... OK rdepends_rfacts ... OK rdepends_rfold ... OK rdepends_rhino ... OK rdepends_Rigma ... OK rdepends_rjtools ... NOTE * checking Rd cross-references ... NOTE rdepends_rlang ... NOTE * checking compiled code ... NOTE rdepends_rmarkdown ... OK rdepends_Rmonize ... NOTE * checking Rd cross-references ... NOTE rdepends_robustlmm ... NOTE * checking Rd cross-references ... NOTE rdepends_ropenblas ... OK rdepends_rpaleoclim ... OK rdepends_rqti ... OK rdepends_rstudio.prefs ... OK rdepends_s3 ... OK rdepends_s3fs ... OK rdepends_saros.base ... OK rdepends_saros ... OK rdepends_sass ... OK rdepends_screenshot ... OK rdepends_serocalculator ... OK rdepends_SeuratObject ... OK rdepends_sherlock ... OK rdepends_shiny.benchmark ... OK rdepends_shinyFiles ... OK rdepends_shinyInvoice ... OK rdepends_shinylive ... OK rdepends_shinymeta ... NOTE * checking Rd cross-references ... NOTE rdepends_shinymgr ... OK rdepends_ShinyQuickStarter ... OK rdepends_shinytest2 ... NOTE * checking Rd cross-references ... NOTE rdepends_SIAtools ... OK rdepends_sinew ... OK rdepends_smfishHmrf ... OK rdepends_socviz ... NOTE * checking Rd files ... [0s/0s] NOTE rdepends_SpaDES.core ... NOTE * checking Rd cross-references ... NOTE rdepends_sparkxgb ... NOTE * checking Rd cross-references ... NOTE rdepends_spatialrisk ... OK rdepends_spreadr ... NOTE * checking package subdirectories ... NOTE rdepends_sqlstrings ... OK rdepends_sqltargets ... OK rdepends_staplr ... NOTE * checking Rd files ... [0s/0s] NOTE rdepends_starter ... OK rdepends_SymbolicDeterminants ... OK rdepends_tablet ... OK rdepends_tarchetypes ... OK rdepends_testthis ... OK rdepends_texPreview ... OK rdepends_textdata ... OK rdepends_tfevents ... OK rdepends_tfhub ... OK rdepends_thaipdf ... NOTE * checking Rd cross-references ... NOTE rdepends_tidywikidatar ... OK rdepends_tor ... OK rdepends_torchaudio ... OK rdepends_torchdatasets ... OK rdepends_torchvision ... OK rdepends_toxSummary ... OK rdepends_traudem ... OK rdepends_TreeSearch ... NOTE * checking Rd cross-references ... NOTE rdepends_usethis ... OK rdepends_vegawidget ... OK rdepends_vembedr ... OK rdepends_VertexWiseR ... OK rdepends_vetiver ... OK rdepends_virtuoso ... OK rdepends_vroom ... NOTE * checking compiled code ... NOTE rdepends_WebAnalytics ... OK rdepends_wither ... OK rdepends_worcs ... OK rdepends_workflowr ... NOTE * checking Rd cross-references ... NOTE rdepends_xml2relational ... OK rdepends_ymlthis ... OK rdepends_yulab.utils ... OK rdepends_zendown ... OK Check results changes: Package: BFS Check: tests New result: ERROR